First version rtabmap_launch working

This commit is contained in:
matlabbe
2023-02-19 18:55:24 -08:00
parent 2f4aadacbb
commit 2dd931248e
418 changed files with 5304 additions and 3493 deletions
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cmake_minimum_required(VERSION 2.8.3)
project(rtabmap_odom)
find_package(catkin REQUIRED COMPONENTS
cv_bridge image_geometry laser_geometry message_filters
nav_msgs nodelet pcl_conversions pcl_ros pluginlib roscpp
sensor_msgs rtabmap_conversions rtabmap_msgs rtabmap_util
)
catkin_package(
INCLUDE_DIRS include
LIBRARIES rtabmap_odom rtabmap_odom_plugins
CATKIN_DEPENDS cv_bridge image_geometry laser_geometry message_filters
nav_msgs nodelet pcl_conversions pcl_ros pluginlib roscpp
sensor_msgs rtabmap_conversions rtabmap_msgs rtabmap_util
)
###########
## Build ##
###########
include_directories(
${CMAKE_CURRENT_SOURCE_DIR}/include
${catkin_INCLUDE_DIRS}
)
SET(rtabmap_odom_lib_src
src/OdometryROS.cpp
src/PluginInterface.cpp
)
SET(rtabmap_odom_plugins_lib_src
src/nodelets/rgbd_odometry.cpp
src/nodelets/stereo_odometry.cpp
src/nodelets/rgbdicp_odometry.cpp
src/nodelets/icp_odometry.cpp
)
############################
## Declare a cpp library
############################
add_library(rtabmap_odom
${rtabmap_odom_lib_src}
)
add_library(rtabmap_odom_plugins
${rtabmap_odom_plugins_lib_src}
)
target_link_libraries(rtabmap_odom
${catkin_LIBRARIES}
)
target_link_libraries(rtabmap_odom_plugins
rtabmap_odom
${catkin_LIBRARIES}
)
add_executable(rtabmap_rgbd_odometry src/RGBDOdometryNode.cpp)
target_link_libraries(rtabmap_rgbd_odometry rtabmap_odom_plugins)
set_target_properties(rtabmap_rgbd_odometry PROPERTIES OUTPUT_NAME "rgbd_odometry")
add_executable(rtabmap_stereo_odometry src/StereoOdometryNode.cpp)
target_link_libraries(rtabmap_stereo_odometry rtabmap_odom_plugins)
set_target_properties(rtabmap_stereo_odometry PROPERTIES OUTPUT_NAME "stereo_odometry")
add_executable(rtabmap_rgbdicp_odometry src/RGBDICPOdometryNode.cpp)
target_link_libraries(rtabmap_rgbdicp_odometry rtabmap_odom_plugins)
set_target_properties(rtabmap_rgbdicp_odometry PROPERTIES OUTPUT_NAME "rgbdicp_odometry")
add_executable(rtabmap_icp_odometry src/ICPOdometryNode.cpp)
target_link_libraries(rtabmap_icp_odometry rtabmap_odom_plugins)
set_target_properties(rtabmap_icp_odometry PROPERTIES OUTPUT_NAME "icp_odometry")
#############
## Install ##
#############
install(TARGETS
rtabmap_odom
rtabmap_odom_plugins
rtabmap_rgbd_odometry
rtabmap_icp_odometry
rtabmap_rgbdicp_odometry
rtabmap_stereo_odometry
ARCHIVE DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION}
LIBRARY DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION}
RUNTIME DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}
)
install(DIRECTORY include/${PROJECT_NAME}/
DESTINATION ${CATKIN_PACKAGE_INCLUDE_DESTINATION}
FILES_MATCHING PATTERN "*.h"
)
install(FILES
nodelet_plugins.xml
DESTINATION ${CATKIN_PACKAGE_SHARE_DESTINATION}
)
@@ -0,0 +1,161 @@
/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef ODOMETRYROS_H_
#define ODOMETRYROS_H_
#include <ros/ros.h>
#include <nodelet/nodelet.h>
#include <tf2_ros/transform_broadcaster.h>
#include <tf/transform_listener.h>
#include <std_srvs/Empty.h>
#include <std_msgs/Header.h>
#include <sensor_msgs/Imu.h>
#include <rtabmap_msgs/ResetPose.h>
#include <rtabmap/core/SensorData.h>
#include <rtabmap/core/Parameters.h>
#include <boost/thread.hpp>
#include "rtabmap_util/ULogToRosout.h"
namespace rtabmap {
class Odometry;
}
namespace rtabmap_odom {
class OdometryROS : public nodelet::Nodelet
{
public:
OdometryROS(bool stereoParams, bool visParams, bool icpParams);
virtual ~OdometryROS();
void processData(rtabmap::SensorData & data, const std_msgs::Header & header);
bool reset(std_srvs::Empty::Request&, std_srvs::Empty::Response&);
bool resetToPose(rtabmap_msgs::ResetPose::Request&, rtabmap_msgs::ResetPose::Response&);
bool pause(std_srvs::Empty::Request&, std_srvs::Empty::Response&);
bool resume(std_srvs::Empty::Request&, std_srvs::Empty::Response&);
bool setLogDebug(std_srvs::Empty::Request&, std_srvs::Empty::Response&);
bool setLogInfo(std_srvs::Empty::Request&, std_srvs::Empty::Response&);
bool setLogWarn(std_srvs::Empty::Request&, std_srvs::Empty::Response&);
bool setLogError(std_srvs::Empty::Request&, std_srvs::Empty::Response&);
const std::string & frameId() const {return frameId_;}
const std::string & odomFrameId() const {return odomFrameId_;}
const std::string & guessFrameId() const {return guessFrameId_;}
const rtabmap::ParametersMap & parameters() const {return parameters_;}
bool isPaused() const {return paused_;}
protected:
void startWarningThread(const std::string & subscribedTopicsMsg, bool approxSync);
void callbackCalled() {callbackCalled_ = true;}
virtual void flushCallbacks() = 0;
tf::TransformListener & tfListener() {return tfListener_;}
double waitForTransformDuration() const {return waitForTransform_?waitForTransformDuration_:0.0;}
rtabmap::Transform velocityGuess() const;
double previousStamp() const {return previousStamp_;}
virtual void postProcessData(const rtabmap::SensorData & data, const std_msgs::Header & header) const {}
private:
void warningLoop(const std::string & subscribedTopicsMsg, bool approxSync);
virtual void onInit();
virtual void onOdomInit() = 0;
virtual void updateParameters(rtabmap::ParametersMap & parameters) {}
void callbackIMU(const sensor_msgs::ImuConstPtr& msg);
void reset(const rtabmap::Transform & pose = rtabmap::Transform::getIdentity());
private:
rtabmap::Odometry * odometry_;
boost::thread * warningThread_;
bool callbackCalled_;
// parameters
std::string frameId_;
std::string odomFrameId_;
std::string groundTruthFrameId_;
std::string groundTruthBaseFrameId_;
std::string guessFrameId_;
double guessMinTranslation_;
double guessMinRotation_;
double guessMinTime_;
bool publishTf_;
bool waitForTransform_;
double waitForTransformDuration_;
bool publishNullWhenLost_;
rtabmap::ParametersMap parameters_;
ros::Publisher odomPub_;
ros::Publisher odomInfoPub_;
ros::Publisher odomInfoLitePub_;
ros::Publisher odomLocalMap_;
ros::Publisher odomLocalScanMap_;
ros::Publisher odomLastFrame_;
ros::Publisher odomRgbdImagePub_;
ros::ServiceServer resetSrv_;
ros::ServiceServer resetToPoseSrv_;
ros::ServiceServer pauseSrv_;
ros::ServiceServer resumeSrv_;
ros::ServiceServer setLogDebugSrv_;
ros::ServiceServer setLogInfoSrv_;
ros::ServiceServer setLogWarnSrv_;
ros::ServiceServer setLogErrorSrv_;
tf2_ros::TransformBroadcaster tfBroadcaster_;
tf::TransformListener tfListener_;
ros::Subscriber imuSub_;
bool paused_;
int resetCountdown_;
int resetCurrentCount_;
bool stereoParams_;
bool visParams_;
bool icpParams_;
rtabmap::Transform guess_;
rtabmap::Transform guessPreviousPose_;
double previousStamp_;
double expectedUpdateRate_;
double maxUpdateRate_;
double minUpdateRate_;
int odomStrategy_;
bool waitIMUToinit_;
bool imuProcessed_;
std::map<double, rtabmap::IMU> imus_;
std::pair<rtabmap::SensorData, std_msgs::Header > bufferedData_;
rtabmap_util::ULogToRosout ulogToRosout_;
};
}
#endif
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#ifndef PLUGIN_INTERFACE_H_
#define PLUGIN_INTERFACE_H_
#include <ros/ros.h>
#include <string>
#include <sensor_msgs/PointCloud2.h>
namespace rtabmap_odom
{
class PluginInterface
{
public:
PluginInterface();
virtual ~PluginInterface() {}
const std::string getName() const
{
return name_;
}
bool isEnabled() {
return enabled_;
}
void initialize(const std::string name, ros::NodeHandle & nh);
virtual sensor_msgs::PointCloud2 filterPointCloud(const sensor_msgs::PointCloud2 msg) = 0;
protected:
/** @brief This is called at the end of initialize(). Override to
* implement subclass-specific initialization.
**/
virtual void onInitialize() {}
bool enabled_; ///< Currently this var is managed by subclasses. TODO: make this managed by this class and/or container class.
std::string name_;
ros::NodeHandle nh_;
};
} // namespace rtabmap_odom
#endif // PLUGIN_INTERFACE_H_
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<library path="lib/librtabmap_odom_plugins">
<class name="rtabmap_odom/rgbd_odometry"
type="rtabmap_odom::RGBDOdometry"
base_class_type="nodelet::Nodelet">
<description>
This is my nodelet.
</description>
</class>
<class name="rtabmap_odom/stereo_odometry"
type="rtabmap_odom::StereoOdometry"
base_class_type="nodelet::Nodelet">
<description>
This is my nodelet.
</description>
</class>
<class name="rtabmap_odom/rgbdicp_odometry"
type="rtabmap_odom::RGBDICPOdometry"
base_class_type="nodelet::Nodelet">
<description>
This is my nodelet.
</description>
</class>
<class name="rtabmap_odom/icp_odometry"
type="rtabmap_odom::ICPOdometry"
base_class_type="nodelet::Nodelet">
<description>
This is my nodelet.
</description>
</class>
</library>
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<?xml version="1.0"?>
<package format="2">
<name>rtabmap_odom</name>
<version>0.1.0</version>
<description>RTAB-Map's odometry package.</description>
<maintainer email="[email protected]">Mathieu Labbe</maintainer>
<author>Mathieu Labbe</author>
<license>BSD</license>
<url type="bugtracker">https://github.com/introlab/rtabmap_ros/issues</url>
<url type="repository">https://github.com/introlab/rtabmap_ros</url>
<buildtool_depend>catkin</buildtool_depend>
<depend>cv_bridge</depend>
<depend>image_geometry</depend>
<depend>laser_geometry</depend>
<depend>message_filters</depend>
<depend>nav_msgs</depend>
<depend>nodelet</depend>
<depend>pcl_conversions</depend>
<depend>pcl_ros</depend>
<depend>pluginlib</depend>
<depend>roscpp</depend>
<depend>sensor_msgs</depend>
<depend>rtabmap_conversions</depend>
<depend>rtabmap_msgs</depend>
<depend>rtabmap_util</depend>
<export>
<nodelet plugin="${prefix}/nodelet_plugins.xml" />
</export>
</package>
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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "ros/ros.h"
#include "nodelet/loader.h"
#include <rtabmap/utilite/ULogger.h>
#include <rtabmap/core/Parameters.h>
int main(int argc, char **argv)
{
ULogger::setType(ULogger::kTypeConsole);
ULogger::setLevel(ULogger::kWarning);
ros::init(argc, argv, "icp_odometry");
// process "--params" argument
nodelet::V_string nargv;
for(int i=1;i<argc;++i)
{
if(strcmp(argv[i], "--params") == 0)
{
rtabmap::ParametersMap parametersOdom = rtabmap::Parameters::getDefaultOdometryParameters(false, false, true);
for(rtabmap::ParametersMap::iterator iter=parametersOdom.begin(); iter!=parametersOdom.end(); ++iter)
{
std::string str = "Param: " + iter->first + " = \"" + iter->second + "\"";
std::cout <<
str <<
std::setw(60 - str.size()) <<
" [" <<
rtabmap::Parameters::getDescription(iter->first).c_str() <<
"]" <<
std::endl;
}
ROS_WARN("Node will now exit after showing default odometry parameters because "
"argument \"--params\" is detected!");
exit(0);
}
else if(strcmp(argv[i], "--udebug") == 0)
{
ULogger::setLevel(ULogger::kDebug);
}
else if(strcmp(argv[i], "--uinfo") == 0)
{
ULogger::setLevel(ULogger::kInfo);
}
nargv.push_back(argv[i]);
}
nodelet::Loader nodelet;
nodelet::M_string remap(ros::names::getRemappings());
std::string nodelet_name = ros::this_node::getName();
nodelet.load(nodelet_name, "rtabmap_odom/icp_odometry", remap, nargv);
ros::spin();
return 0;
}
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#include "rtabmap_odom/PluginInterface.h"
namespace rtabmap_odom
{
PluginInterface::PluginInterface()
: enabled_(false)
, name_()
{
}
void PluginInterface::initialize(const std::string name, ros::NodeHandle & nh)
{
name_ = name;
nh_ = ros::NodeHandle(nh, name);
onInitialize();
}
} // end namespace rtabmap_odom
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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "ros/ros.h"
#include "nodelet/loader.h"
#include <rtabmap/utilite/ULogger.h>
#include <rtabmap/core/Parameters.h>
int main(int argc, char **argv)
{
ULogger::setType(ULogger::kTypeConsole);
ULogger::setLevel(ULogger::kWarning);
ros::init(argc, argv, "rgbdicp_odometry");
// process "--params" argument
nodelet::V_string nargv;
for(int i=1;i<argc;++i)
{
if(strcmp(argv[i], "--params") == 0)
{
rtabmap::ParametersMap parametersOdom = rtabmap::Parameters::getDefaultOdometryParameters(false, true, true);
for(rtabmap::ParametersMap::iterator iter=parametersOdom.begin(); iter!=parametersOdom.end(); ++iter)
{
std::string str = "Param: " + iter->first + " = \"" + iter->second + "\"";
std::cout <<
str <<
std::setw(60 - str.size()) <<
" [" <<
rtabmap::Parameters::getDescription(iter->first).c_str() <<
"]" <<
std::endl;
}
ROS_WARN("Node will now exit after showing default odometry parameters because "
"argument \"--params\" is detected!");
exit(0);
}
else if(strcmp(argv[i], "--udebug") == 0)
{
ULogger::setLevel(ULogger::kDebug);
}
else if(strcmp(argv[i], "--uinfo") == 0)
{
ULogger::setLevel(ULogger::kInfo);
}
nargv.push_back(argv[i]);
}
nodelet::Loader nodelet;
nodelet::M_string remap(ros::names::getRemappings());
std::string nodelet_name = ros::this_node::getName();
nodelet.load(nodelet_name, "rtabmap_odom/rgbdicp_odometry", remap, nargv);
ros::spin();
return 0;
}
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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "ros/ros.h"
#include "nodelet/loader.h"
#include <rtabmap/utilite/ULogger.h>
#include <rtabmap/core/Parameters.h>
int main(int argc, char **argv)
{
ULogger::setType(ULogger::kTypeConsole);
ULogger::setLevel(ULogger::kWarning);
ros::init(argc, argv, "rgbd_odometry");
// process "--params" argument
nodelet::V_string nargv;
for(int i=1;i<argc;++i)
{
if(strcmp(argv[i], "--params") == 0)
{
rtabmap::ParametersMap parametersOdom = rtabmap::Parameters::getDefaultOdometryParameters(false);
for(rtabmap::ParametersMap::iterator iter=parametersOdom.begin(); iter!=parametersOdom.end(); ++iter)
{
std::string str = "Param: " + iter->first + " = \"" + iter->second + "\"";
std::cout <<
str <<
std::setw(60 - str.size()) <<
" [" <<
rtabmap::Parameters::getDescription(iter->first).c_str() <<
"]" <<
std::endl;
}
ROS_WARN("Node will now exit after showing default odometry parameters because "
"argument \"--params\" is detected!");
exit(0);
}
else if(strcmp(argv[i], "--udebug") == 0)
{
ULogger::setLevel(ULogger::kDebug);
}
else if(strcmp(argv[i], "--uinfo") == 0)
{
ULogger::setLevel(ULogger::kInfo);
}
nargv.push_back(argv[i]);
}
nodelet::Loader nodelet;
nodelet::M_string remap(ros::names::getRemappings());
std::string nodelet_name = ros::this_node::getName();
nodelet.load(nodelet_name, "rtabmap_odom/rgbd_odometry", remap, nargv);
ros::spin();
return 0;
}
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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "ros/ros.h"
#include "nodelet/loader.h"
#include <rtabmap/utilite/ULogger.h>
#include <rtabmap/core/Parameters.h>
int main(int argc, char **argv)
{
ULogger::setType(ULogger::kTypeConsole);
ULogger::setLevel(ULogger::kWarning);
ros::init(argc, argv, "stereo_odometry");
// process "--params" argument
nodelet::V_string nargv;
for(int i=1;i<argc;++i)
{
if(strcmp(argv[i], "--params") == 0)
{
rtabmap::ParametersMap parametersOdom = rtabmap::Parameters::getDefaultOdometryParameters(true);
for(rtabmap::ParametersMap::iterator iter=parametersOdom.begin(); iter!=parametersOdom.end(); ++iter)
{
std::string str = "Param: " + iter->first + " = \"" + iter->second + "\"";
std::cout <<
str <<
std::setw(60 - str.size()) <<
" [" <<
rtabmap::Parameters::getDescription(iter->first).c_str() <<
"]" <<
std::endl;
}
ROS_WARN("Node will now exit after showing default odometry parameters because "
"argument \"--params\" is detected!");
exit(0);
}
else if(strcmp(argv[i], "--udebug") == 0)
{
ULogger::setLevel(ULogger::kDebug);
}
else if(strcmp(argv[i], "--uinfo") == 0)
{
ULogger::setLevel(ULogger::kInfo);
}
nargv.push_back(argv[i]);
}
nodelet::Loader nodelet;
nodelet::M_string remap(ros::names::getRemappings());
std::string nodelet_name = ros::this_node::getName();
nodelet.load(nodelet_name, "rtabmap_odom/stereo_odometry", remap, nargv);
ros::spin();
return 0;
}
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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include <rtabmap_odom/OdometryROS.h>
#include <pluginlib/class_list_macros.hpp>
#include <pluginlib/class_loader.hpp>
#include <nodelet/nodelet.h>
#include <laser_geometry/laser_geometry.h>
#include <sensor_msgs/LaserScan.h>
#include <sensor_msgs/PointCloud2.h>
#include <pcl_conversions/pcl_conversions.h>
#include <pcl_ros/transforms.h>
#include "rtabmap_conversions/MsgConversion.h"
#include "rtabmap_odom/PluginInterface.h"
#include <rtabmap/core/util3d.h>
#include <rtabmap/core/util3d_surface.h>
#include <rtabmap/core/util3d_transforms.h>
#include <rtabmap/core/util3d_filtering.h>
#include <rtabmap/core/util2d.h>
#include <rtabmap/utilite/ULogger.h>
#include <rtabmap/utilite/UConversion.h>
#include <rtabmap/utilite/UStl.h>
using namespace rtabmap;
namespace rtabmap_odom
{
class ICPOdometry : public OdometryROS
{
public:
ICPOdometry() :
OdometryROS(false, false, true),
scanCloudMaxPoints_(0),
scanCloudIs2d_(false),
scanDownsamplingStep_(1),
scanRangeMin_(0),
scanRangeMax_(0),
scanVoxelSize_(0.0),
scanNormalK_(0),
scanNormalRadius_(0.0),
scanNormalGroundUp_(0.0),
deskewing_(false),
deskewingSlerp_(false),
plugin_loader_("rtabmap_odom", "rtabmap_odom::PluginInterface"),
scanReceived_(false),
cloudReceived_(false)
{
}
virtual ~ICPOdometry()
{
plugins_.clear();
}
private:
virtual void onOdomInit()
{
ros::NodeHandle & nh = getNodeHandle();
ros::NodeHandle & pnh = getPrivateNodeHandle();
int queueSize = 1;
pnh.param("queue_size", queueSize, queueSize);
pnh.param("scan_cloud_max_points", scanCloudMaxPoints_, scanCloudMaxPoints_);
pnh.param("scan_cloud_is_2d", scanCloudIs2d_, scanCloudIs2d_);
pnh.param("scan_downsampling_step", scanDownsamplingStep_, scanDownsamplingStep_);
pnh.param("scan_range_min", scanRangeMin_, scanRangeMin_);
pnh.param("scan_range_max", scanRangeMax_, scanRangeMax_);
pnh.param("scan_voxel_size", scanVoxelSize_, scanVoxelSize_);
pnh.param("scan_normal_k", scanNormalK_, scanNormalK_);
pnh.param("scan_normal_radius", scanNormalRadius_, scanNormalRadius_);
pnh.param("scan_normal_ground_up", scanNormalGroundUp_, scanNormalGroundUp_);
pnh.param("deskewing", deskewing_, deskewing_);
pnh.param("deskewing_slerp", deskewingSlerp_, deskewingSlerp_);
if (pnh.hasParam("plugins"))
{
XmlRpc::XmlRpcValue pluginsList;
pnh.getParam("plugins", pluginsList);
for (int32_t i = 0; i < pluginsList.size(); ++i)
{
std::string pluginName = static_cast<std::string>(pluginsList[i]["name"]);
std::string type = static_cast<std::string>(pluginsList[i]["type"]);
NODELET_INFO("IcpOdometry: Using plugin %s of type \"%s\"", pluginName.c_str(), type.c_str());
try {
boost::shared_ptr<rtabmap_odom::PluginInterface> plugin = plugin_loader_.createInstance(type);
plugins_.push_back(plugin);
plugin->initialize(pluginName, pnh);
if(!plugin->isEnabled())
{
NODELET_WARN("Plugin: %s is not enabled, filtering will not occur. \"enabled_\" member "
"should be managed in subclasses. This can be ignored if the "
"plugin should really be initialized as disabled.",
plugin->getName().c_str());
}
}
catch(pluginlib::PluginlibException & ex) {
ROS_ERROR("Failed to load plugin %s. Error: %s", pluginName.c_str(), ex.what());
}
}
}
if(pnh.hasParam("scan_cloud_normal_k") && !pnh.hasParam("scan_normal_k"))
{
ROS_WARN("rtabmap: Parameter \"scan_cloud_normal_k\" has been renamed to \"scan_normal_k\". "
"The value is still used. Use \"scan_normal_k\" to avoid this warning.");
pnh.param("scan_cloud_normal_k", scanNormalK_, scanNormalK_);
}
NODELET_INFO("IcpOdometry: queue_size = %d", queueSize);
NODELET_INFO("IcpOdometry: scan_cloud_max_points = %d", scanCloudMaxPoints_);
NODELET_INFO("IcpOdometry: scan_cloud_is_2d = %s", scanCloudIs2d_?"true":"false");
NODELET_INFO("IcpOdometry: scan_downsampling_step = %d", scanDownsamplingStep_);
NODELET_INFO("IcpOdometry: scan_range_min = %f m", scanRangeMin_);
NODELET_INFO("IcpOdometry: scan_range_max = %f m", scanRangeMax_);
NODELET_INFO("IcpOdometry: scan_voxel_size = %f m", scanVoxelSize_);
NODELET_INFO("IcpOdometry: scan_normal_k = %d", scanNormalK_);
NODELET_INFO("IcpOdometry: scan_normal_radius = %f m", scanNormalRadius_);
NODELET_INFO("IcpOdometry: scan_normal_ground_up = %f", scanNormalGroundUp_);
NODELET_INFO("IcpOdometry: deskewing = %s", deskewing_?"true":"false");
NODELET_INFO("IcpOdometry: deskewing_slerp = %s", deskewingSlerp_?"true":"false");
scan_sub_ = nh.subscribe("scan", queueSize, &ICPOdometry::callbackScan, this);
cloud_sub_ = nh.subscribe("scan_cloud", queueSize, &ICPOdometry::callbackCloud, this);
filtered_scan_pub_ = nh.advertise<sensor_msgs::PointCloud2>("odom_filtered_input_scan", 1);
}
virtual void updateParameters(ParametersMap & parameters)
{
//make sure we are using Reg/Strategy=0
ParametersMap::iterator iter = parameters.find(Parameters::kRegStrategy());
if(iter != parameters.end() && iter->second.compare("1") != 0)
{
ROS_WARN("ICP odometry works only with \"Reg/Strategy\"=1. Ignoring value %s.", iter->second.c_str());
}
uInsert(parameters, ParametersPair(Parameters::kRegStrategy(), "1"));
ros::NodeHandle & pnh = getPrivateNodeHandle();
iter = parameters.find(Parameters::kIcpDownsamplingStep());
if(iter != parameters.end())
{
int value = uStr2Int(iter->second);
if(value > 1)
{
if(!pnh.hasParam("scan_downsampling_step"))
{
ROS_WARN("IcpOdometry: Transferring value %s of \"%s\" to ros parameter \"scan_downsampling_step\" for convenience. \"%s\" is set to 1.", iter->second.c_str(), iter->first.c_str(), iter->first.c_str());
scanDownsamplingStep_ = value;
iter->second = "1";
}
else
{
ROS_WARN("IcpOdometry: Both parameter \"%s\" and ros parameter \"scan_downsampling_step\" are set.", iter->first.c_str());
}
}
}
iter = parameters.find(Parameters::kIcpRangeMin());
if(iter != parameters.end())
{
float value = uStr2Float(iter->second);
if(value != 0.0f)
{
if(!pnh.hasParam("scan_range_min"))
{
ROS_WARN("IcpOdometry: Transferring value %s of \"%s\" to ros parameter \"scan_range_min\" for convenience. \"%s\" is set to 0.", iter->second.c_str(), iter->first.c_str(), iter->first.c_str());
scanRangeMin_ = value;
iter->second = "0";
}
else
{
ROS_WARN("IcpOdometry: Both parameter \"%s\" and ros parameter \"scan_range_min\" are set.", iter->first.c_str());
}
}
}
iter = parameters.find(Parameters::kIcpRangeMax());
if(iter != parameters.end())
{
float value = uStr2Float(iter->second);
if(value != 0.0f)
{
if(!pnh.hasParam("scan_range_max"))
{
ROS_WARN("IcpOdometry: Transferring value %s of \"%s\" to ros parameter \"scan_range_max\" for convenience. \"%s\" is set to 0.", iter->second.c_str(), iter->first.c_str(), iter->first.c_str());
scanRangeMax_ = value;
iter->second = "0";
}
else
{
ROS_WARN("IcpOdometry: Both parameter \"%s\" and ros parameter \"scan_range_max\" are set.", iter->first.c_str());
}
}
}
iter = parameters.find(Parameters::kIcpVoxelSize());
if(iter != parameters.end())
{
float value = uStr2Float(iter->second);
if(value != 0.0f)
{
if(!pnh.hasParam("scan_voxel_size"))
{
ROS_WARN("IcpOdometry: Transferring value %s of \"%s\" to ros parameter \"scan_voxel_size\" for convenience. \"%s\" is set to 0.", iter->second.c_str(), iter->first.c_str(), iter->first.c_str());
scanVoxelSize_ = value;
iter->second = "0";
}
else
{
ROS_WARN("IcpOdometry: Both parameter \"%s\" and ros parameter \"scan_voxel_size\" are set.", iter->first.c_str());
}
}
}
else if(pnh.hasParam("scan_voxel_size"))
{
NODELET_INFO("IcpOdometry: scan_voxel_size is set (%f), setting %s to 0", scanVoxelSize_, Parameters::kIcpVoxelSize().c_str());
parameters.insert(ParametersPair(Parameters::kIcpVoxelSize(), "0"));
}
iter = parameters.find(Parameters::kIcpPointToPlaneK());
if(iter != parameters.end())
{
int value = uStr2Int(iter->second);
if(value != 0)
{
if(!pnh.hasParam("scan_normal_k"))
{
ROS_WARN("IcpOdometry: Transferring value %s of \"%s\" to ros parameter \"scan_normal_k\" for convenience.", iter->second.c_str(), iter->first.c_str());
scanNormalK_ = value;
}
else
{
NODELET_INFO("IcpOdometry: scan_normal_k is set (%d), setting %s to same value.", scanNormalK_, Parameters::kIcpPointToPlaneK().c_str());
iter->second = uNumber2Str(scanNormalK_);
}
}
}
else if(pnh.hasParam("scan_normal_k"))
{
NODELET_INFO("IcpOdometry: scan_normal_k is set (%d), setting %s to same value.", scanNormalK_, Parameters::kIcpPointToPlaneK().c_str());
parameters.insert(ParametersPair(Parameters::kIcpPointToPlaneK(), uNumber2Str(scanNormalK_)));
}
iter = parameters.find(Parameters::kIcpPointToPlaneRadius());
if(iter != parameters.end())
{
float value = uStr2Float(iter->second);
if(value != 0.0f)
{
if(!pnh.hasParam("scan_normal_radius"))
{
ROS_WARN("IcpOdometry: Transferring value %s of \"%s\" to ros parameter \"scan_normal_radius\" for convenience.", iter->second.c_str(), iter->first.c_str());
scanNormalRadius_ = value;
}
else
{
NODELET_INFO("IcpOdometry: scan_normal_radius is set (%f), setting %s to same value.", scanNormalRadius_, Parameters::kIcpPointToPlaneRadius().c_str());
iter->second = uNumber2Str(scanNormalK_);
}
}
}
else if(pnh.hasParam("scan_normal_radius"))
{
NODELET_INFO("IcpOdometry: scan_normal_radius is set (%f), setting %s to same value.", scanNormalRadius_, Parameters::kIcpPointToPlaneRadius().c_str());
parameters.insert(ParametersPair(Parameters::kIcpPointToPlaneRadius(), uNumber2Str(scanNormalRadius_)));
}
iter = parameters.find(Parameters::kIcpPointToPlaneGroundNormalsUp());
if(iter != parameters.end())
{
float value = uStr2Float(iter->second);
if(value != 0.0f)
{
if(!pnh.hasParam("scan_normal_ground_up"))
{
ROS_WARN("IcpOdometry: Transferring value %s of \"%s\" to ros parameter \"scan_normal_ground_up\" for convenience.", iter->second.c_str(), iter->first.c_str());
scanNormalGroundUp_ = value;
}
else
{
NODELET_INFO("IcpOdometry: scan_normal_ground_up is set (%f), setting %s to same value.", scanNormalGroundUp_, Parameters::kIcpPointToPlaneGroundNormalsUp().c_str());
iter->second = uNumber2Str(scanNormalK_);
}
}
}
else if(pnh.hasParam("scan_normal_ground_up"))
{
NODELET_INFO("IcpOdometry: scan_normal_ground_up is set (%f), setting %s to same value.", scanNormalGroundUp_, Parameters::kIcpPointToPlaneGroundNormalsUp().c_str());
parameters.insert(ParametersPair(Parameters::kIcpPointToPlaneGroundNormalsUp(), uNumber2Str(scanNormalGroundUp_)));
}
}
void callbackScan(const sensor_msgs::LaserScanConstPtr& scanMsg)
{
if(cloudReceived_)
{
ROS_ERROR("%s is already receiving clouds on \"%s\", but also "
"just received a scan on \"%s\". Both subscribers cannot be "
"used at the same time! Disabling scan subscriber.",
this->getName().c_str(), cloud_sub_.getTopic().c_str(), scan_sub_.getTopic().c_str());
scan_sub_.shutdown();
return;
}
scanReceived_ = true;
if(this->isPaused())
{
return;
}
// make sure the frame of the laser is updated
Transform localScanTransform = rtabmap_conversions::getTransform(this->frameId(),
scanMsg->header.frame_id,
scanMsg->header.stamp,
this->tfListener(),
this->waitForTransformDuration());
if(localScanTransform.isNull())
{
ROS_ERROR("TF of received laser scan topic at time %fs is not set, aborting odometry update.", scanMsg->header.stamp.toSec());
return;
}
//transform in scan frame
sensor_msgs::PointCloud2 scanOut;
laser_geometry::LaserProjection projection;
if(deskewing_ && (!guessFrameId().empty() || (frameId().compare(scanMsg->header.frame_id) != 0)))
{
// make sure the frame of the laser is updated during the whole scan time
rtabmap::Transform tmpT = rtabmap_conversions::getTransform(
scanMsg->header.frame_id,
guessFrameId().empty()?frameId():guessFrameId(),
scanMsg->header.stamp,
scanMsg->header.stamp + ros::Duration().fromSec(scanMsg->ranges.size()*scanMsg->time_increment),
this->tfListener(),
this->waitForTransformDuration());
if(tmpT.isNull())
{
return;
}
projection.transformLaserScanToPointCloud(
guessFrameId().empty()?frameId():guessFrameId(),
*scanMsg,
scanOut,
this->tfListener(),
laser_geometry::channel_option::Intensity | laser_geometry::channel_option::Timestamp);
if(guessFrameId().empty() && previousStamp() > 0 && !velocityGuess().isNull())
{
// deskew with constant velocity model (we are in frameId)
sensor_msgs::PointCloud2 scanOutDeskewed;
if(!rtabmap_conversions::deskew(scanOut, scanOutDeskewed, previousStamp(), velocityGuess()))
{
ROS_ERROR("Failed to deskew input cloud, aborting odometry update!");
return;
}
scanOut = scanOutDeskewed;
}
sensor_msgs::PointCloud2 scanOutDeskewed;
if(!pcl_ros::transformPointCloud(scanMsg->header.frame_id, scanOut, scanOutDeskewed, this->tfListener()))
{
ROS_ERROR("Cannot transform back projected scan from \"%s\" frame to \"%s\" frame at time %fs.",
(guessFrameId().empty()?frameId():guessFrameId()).c_str(), scanMsg->header.frame_id.c_str(), scanMsg->header.stamp.toSec());
return;
}
scanOut = scanOutDeskewed;
}
else
{
projection.projectLaser(*scanMsg, scanOut, -1.0, laser_geometry::channel_option::Intensity | laser_geometry::channel_option::Timestamp);
if(deskewing_ && previousStamp() > 0 && !velocityGuess().isNull())
{
// deskew with constant velocity model
sensor_msgs::PointCloud2 scanOutDeskewed;
if(!rtabmap_conversions::deskew(scanOut, scanOutDeskewed, previousStamp(), velocityGuess()))
{
ROS_ERROR("Failed to deskew input cloud, aborting odometry update!");
return;
}
scanOut = scanOutDeskewed;
}
}
bool hasIntensity = false;
for(unsigned int i=0; i<scanOut.fields.size(); ++i)
{
if(scanOut.fields[i].name.compare("intensity") == 0)
{
if(scanOut.fields[i].datatype == sensor_msgs::PointField::FLOAT32)
{
hasIntensity = true;
}
else
{
static bool warningShown = false;
if(!warningShown)
{
ROS_WARN("The input scan cloud has an \"intensity\" field "
"but the datatype (%d) is not supported. Intensity will be ignored. "
"This message is only shown once.", scanOut.fields[i].datatype);
warningShown = true;
}
}
}
}
pcl::PointCloud<pcl::PointXYZI>::Ptr pclScanI(new pcl::PointCloud<pcl::PointXYZI>);
pcl::PointCloud<pcl::PointXYZ>::Ptr pclScan(new pcl::PointCloud<pcl::PointXYZ>);
if(hasIntensity)
{
pcl::fromROSMsg(scanOut, *pclScanI);
pclScanI->is_dense = true;
}
else
{
pcl::fromROSMsg(scanOut, *pclScan);
pclScan->is_dense = true;
}
LaserScan scan;
int maxLaserScans = (int)scanMsg->ranges.size();
if(!pclScan->empty() || !pclScanI->empty())
{
if(scanDownsamplingStep_ > 1)
{
if(hasIntensity)
{
pclScanI = util3d::downsample(pclScanI, scanDownsamplingStep_);
}
else
{
pclScan = util3d::downsample(pclScan, scanDownsamplingStep_);
}
maxLaserScans /= scanDownsamplingStep_;
}
if(scanVoxelSize_ > 0.0f)
{
float pointsBeforeFiltering;
float pointsAfterFiltering;
if(hasIntensity)
{
pointsBeforeFiltering = (float)pclScanI->size();
pclScanI = util3d::voxelize(pclScanI, scanVoxelSize_);
pointsAfterFiltering = (float)pclScanI->size();
}
else
{
pointsBeforeFiltering = (float)pclScan->size();
pclScan = util3d::voxelize(pclScan, scanVoxelSize_);
pointsAfterFiltering = (float)pclScan->size();
}
float ratio = pointsAfterFiltering / pointsBeforeFiltering;
maxLaserScans = int(float(maxLaserScans) * ratio);
}
if(scanNormalK_ > 0 || scanNormalRadius_>0.0f)
{
//compute normals
pcl::PointCloud<pcl::Normal>::Ptr normals;
if(scanVoxelSize_ > 0.0f)
{
if(hasIntensity)
{
normals = util3d::computeNormals2D(pclScanI, scanNormalK_, scanNormalRadius_);
}
else
{
normals = util3d::computeNormals2D(pclScan, scanNormalK_, scanNormalRadius_);
}
}
else
{
if(hasIntensity)
{
normals = util3d::computeFastOrganizedNormals2D(pclScanI, scanNormalK_, scanNormalRadius_);
}
else
{
normals = util3d::computeFastOrganizedNormals2D(pclScan, scanNormalK_, scanNormalRadius_);
}
}
pcl::PointCloud<pcl::PointXYZINormal>::Ptr pclScanINormal;
pcl::PointCloud<pcl::PointNormal>::Ptr pclScanNormal;
if(hasIntensity)
{
pclScanINormal.reset(new pcl::PointCloud<pcl::PointXYZINormal>);
pcl::concatenateFields(*pclScanI, *normals, *pclScanINormal);
scan = util3d::laserScan2dFromPointCloud(*pclScanINormal);
}
else
{
pclScanNormal.reset(new pcl::PointCloud<pcl::PointNormal>);
pcl::concatenateFields(*pclScan, *normals, *pclScanNormal);
scan = util3d::laserScan2dFromPointCloud(*pclScanNormal);
}
}
else
{
if(hasIntensity)
{
scan = util3d::laserScan2dFromPointCloud(*pclScanI);
}
else
{
scan = util3d::laserScan2dFromPointCloud(*pclScan);
}
}
}
if(scanRangeMin_ > 0 || scanRangeMax_ > 0)
{
scan = util3d::rangeFiltering(scan, scanRangeMin_, scanRangeMax_);
}
rtabmap::SensorData data(
LaserScan(scan,
maxLaserScans,
scanRangeMax_>0&&scanRangeMax_<scanMsg->range_max?scanRangeMax_:scanMsg->range_max,
localScanTransform),
cv::Mat(),
cv::Mat(),
rtabmap::CameraModel(),
0,
rtabmap_conversions::timestampFromROS(scanMsg->header.stamp));
this->processData(data, scanMsg->header);
}
void callbackCloud(const sensor_msgs::PointCloud2ConstPtr& pointCloudMsg)
{
UASSERT_MSG(pointCloudMsg->data.size() == pointCloudMsg->row_step*pointCloudMsg->height,
uFormat("data=%d row_step=%d height=%d", pointCloudMsg->data.size(), pointCloudMsg->row_step, pointCloudMsg->height).c_str());
if(scanReceived_)
{
ROS_ERROR("%s is already receiving scans on \"%s\", but also "
"just received a cloud on \"%s\". Both subscribers cannot be "
"used at the same time! Disabling cloud subscriber.",
this->getName().c_str(), scan_sub_.getTopic().c_str(), cloud_sub_.getTopic().c_str());
cloud_sub_.shutdown();
return;
}
cloudReceived_ = true;
if(this->isPaused())
{
return;
}
sensor_msgs::PointCloud2::Ptr cloudMsg(new sensor_msgs::PointCloud2);
if (!plugins_.empty())
{
if (plugins_[0]->isEnabled())
{
*cloudMsg = plugins_[0]->filterPointCloud(*pointCloudMsg);
}
else
{
*cloudMsg = *pointCloudMsg;
}
if (plugins_.size() > 1)
{
for (int i = 1; i < plugins_.size(); i++) {
if (plugins_[i]->isEnabled()) {
*cloudMsg = plugins_[i]->filterPointCloud(*cloudMsg);
}
}
}
}
else
{
*cloudMsg = *pointCloudMsg;
}
Transform localScanTransform = rtabmap_conversions::getTransform(this->frameId(), cloudMsg->header.frame_id, cloudMsg->header.stamp, this->tfListener(), this->waitForTransformDuration());
if(localScanTransform.isNull())
{
ROS_ERROR("TF of received scan cloud at time %fs is not set, aborting rtabmap update.", cloudMsg->header.stamp.toSec());
return;
}
if(deskewing_)
{
if(!guessFrameId().empty())
{
// deskew with TF
if(!rtabmap_conversions::deskew(*pointCloudMsg, *cloudMsg, guessFrameId(), tfListener(), waitForTransformDuration(), deskewingSlerp_))
{
ROS_ERROR("Failed to deskew input cloud, aborting odometry update!");
return;
}
}
else if(previousStamp() > 0 && !velocityGuess().isNull())
{
// deskew with constant velocity model
bool alreadyInBaseFrame = frameId().compare(pointCloudMsg->header.frame_id) == 0;
sensor_msgs::PointCloud2Ptr cloudInBaseFrame;
sensor_msgs::PointCloud2Ptr cloudPtr = cloudMsg;
if(!alreadyInBaseFrame)
{
// transform in base frame
cloudInBaseFrame.reset(new sensor_msgs::PointCloud2);
if(!pcl_ros::transformPointCloud(frameId(), *pointCloudMsg, *cloudInBaseFrame, this->tfListener()))
{
ROS_ERROR("Cannot transform back projected scan from \"%s\" frame to \"%s\" frame at time %fs.",
pointCloudMsg->header.frame_id.c_str(), frameId().c_str(), pointCloudMsg->header.stamp.toSec());
return;
}
cloudPtr = cloudInBaseFrame;
}
sensor_msgs::PointCloud2::Ptr cloudDeskewed(new sensor_msgs::PointCloud2);
if(!rtabmap_conversions::deskew(*cloudPtr, *cloudDeskewed, previousStamp(), velocityGuess()))
{
ROS_ERROR("Failed to deskew input cloud, aborting odometry update!");
return;
}
if(!alreadyInBaseFrame)
{
// put back in scan frame
if(!pcl_ros::transformPointCloud(pointCloudMsg->header.frame_id.c_str(), *cloudDeskewed, *cloudMsg, this->tfListener()))
{
ROS_ERROR("Cannot transform back projected scan from \"%s\" frame to \"%s\" frame at time %fs.",
frameId().c_str(), pointCloudMsg->header.frame_id.c_str(), pointCloudMsg->header.stamp.toSec());
return;
}
}
else
{
cloudMsg = cloudDeskewed;
}
}
}
LaserScan scan;
bool hasNormals = false;
bool hasIntensity = false;
bool is3D = false;
for(unsigned int i=0; i<cloudMsg->fields.size(); ++i)
{
if(scanVoxelSize_ == 0.0f && cloudMsg->fields[i].name.compare("normal_x") == 0)
{
hasNormals = true;
}
if(cloudMsg->fields[i].name.compare("z") == 0 && !scanCloudIs2d_)
{
is3D = true;
}
if(cloudMsg->fields[i].name.compare("intensity") == 0)
{
if(cloudMsg->fields[i].datatype == sensor_msgs::PointField::FLOAT32)
{
hasIntensity = true;
}
else
{
static bool warningShown = false;
if(!warningShown)
{
ROS_WARN("The input scan cloud has an \"intensity\" field "
"but the datatype (%d) is not supported. Intensity will be ignored. "
"This message is only shown once.", cloudMsg->fields[i].datatype);
warningShown = true;
}
}
}
}
if(scanCloudMaxPoints_ == 0 && cloudMsg->height > 1)
{
scanCloudMaxPoints_ = cloudMsg->height * cloudMsg->width;
NODELET_WARN("IcpOdometry: \"scan_cloud_max_points\" is not set but input "
"cloud is not dense, for convenience it will be set to %d (%dx%d)",
scanCloudMaxPoints_, cloudMsg->width, cloudMsg->height);
}
else if(cloudMsg->height > 1 && scanCloudMaxPoints_ < cloudMsg->height * cloudMsg->width)
{
NODELET_WARN("IcpOdometry: \"scan_cloud_max_points\" is set to %d but input "
"cloud is not dense and has a size of %d (%dx%d), setting to this later size.",
scanCloudMaxPoints_, cloudMsg->width *cloudMsg->height, cloudMsg->width, cloudMsg->height);
scanCloudMaxPoints_ = cloudMsg->width *cloudMsg->height;
}
int maxLaserScans = scanCloudMaxPoints_;
if(hasNormals && hasIntensity)
{
pcl::PointCloud<pcl::PointXYZINormal>::Ptr pclScan(new pcl::PointCloud<pcl::PointXYZINormal>);
pcl::fromROSMsg(*cloudMsg, *pclScan);
if(pclScan->size() && scanDownsamplingStep_ > 1)
{
pclScan = util3d::downsample(pclScan, scanDownsamplingStep_);
if(pclScan->height>1)
{
maxLaserScans = pclScan->height * pclScan->width;
}
else
{
maxLaserScans /= scanDownsamplingStep_;
}
}
scan = is3D?util3d::laserScanFromPointCloud(*pclScan):util3d::laserScan2dFromPointCloud(*pclScan);
}
else if(hasNormals)
{
pcl::PointCloud<pcl::PointNormal>::Ptr pclScan(new pcl::PointCloud<pcl::PointNormal>);
pcl::fromROSMsg(*cloudMsg, *pclScan);
if(pclScan->size() && scanDownsamplingStep_ > 1)
{
pclScan = util3d::downsample(pclScan, scanDownsamplingStep_);
if(pclScan->height>1)
{
maxLaserScans = pclScan->height * pclScan->width;
}
else
{
maxLaserScans /= scanDownsamplingStep_;
}
}
scan = is3D?util3d::laserScanFromPointCloud(*pclScan):util3d::laserScan2dFromPointCloud(*pclScan);
}
else if(hasIntensity)
{
pcl::PointCloud<pcl::PointXYZI>::Ptr pclScan(new pcl::PointCloud<pcl::PointXYZI>);
pcl::fromROSMsg(*cloudMsg, *pclScan);
if(pclScan->size() && scanDownsamplingStep_ > 1)
{
pclScan = util3d::downsample(pclScan, scanDownsamplingStep_);
if(pclScan->height>1)
{
maxLaserScans = pclScan->height * pclScan->width;
}
else
{
maxLaserScans /= scanDownsamplingStep_;
}
}
if(!pclScan->is_dense)
{
pclScan = util3d::removeNaNFromPointCloud(pclScan);
}
if(pclScan->size())
{
if(scanVoxelSize_ > 0.0f)
{
float pointsBeforeFiltering = (float)pclScan->size();
pclScan = util3d::voxelize(pclScan, scanVoxelSize_);
float ratio = float(pclScan->size()) / pointsBeforeFiltering;
maxLaserScans = int(float(maxLaserScans) * ratio);
}
if(scanNormalK_ > 0 || scanNormalRadius_>0.0f)
{
//compute normals
pcl::PointCloud<pcl::Normal>::Ptr normals = is3D?
util3d::computeNormals(pclScan, scanNormalK_, scanNormalRadius_):
util3d::computeNormals2D(pclScan, scanNormalK_, scanNormalRadius_);
pcl::PointCloud<pcl::PointXYZINormal>::Ptr pclScanNormal(new pcl::PointCloud<pcl::PointXYZINormal>);
pcl::concatenateFields(*pclScan, *normals, *pclScanNormal);
scan = is3D?util3d::laserScanFromPointCloud(*pclScanNormal):util3d::laserScan2dFromPointCloud(*pclScanNormal);
}
else
{
scan = is3D?util3d::laserScanFromPointCloud(*pclScan):util3d::laserScan2dFromPointCloud(*pclScan);
}
}
}
else
{
pcl::PointCloud<pcl::PointXYZ>::Ptr pclScan(new pcl::PointCloud<pcl::PointXYZ>);
pcl::fromROSMsg(*cloudMsg, *pclScan);
if(pclScan->size() && scanDownsamplingStep_ > 1)
{
pclScan = util3d::downsample(pclScan, scanDownsamplingStep_);
if(pclScan->height>1)
{
maxLaserScans = pclScan->height * pclScan->width;
}
else
{
maxLaserScans /= scanDownsamplingStep_;
}
}
if(!pclScan->is_dense)
{
pclScan = util3d::removeNaNFromPointCloud(pclScan);
}
if(pclScan->size())
{
if(scanVoxelSize_ > 0.0f)
{
float pointsBeforeFiltering = (float)pclScan->size();
pclScan = util3d::voxelize(pclScan, scanVoxelSize_);
float ratio = float(pclScan->size()) / pointsBeforeFiltering;
maxLaserScans = int(float(maxLaserScans) * ratio);
}
if(scanNormalK_ > 0 || scanNormalRadius_>0.0f)
{
//compute normals
pcl::PointCloud<pcl::Normal>::Ptr normals = is3D?
util3d::computeNormals(pclScan, scanNormalK_, scanNormalRadius_):
util3d::computeNormals2D(pclScan, scanNormalK_, scanNormalRadius_);
pcl::PointCloud<pcl::PointNormal>::Ptr pclScanNormal(new pcl::PointCloud<pcl::PointNormal>);
pcl::concatenateFields(*pclScan, *normals, *pclScanNormal);
scan = is3D?util3d::laserScanFromPointCloud(*pclScanNormal):util3d::laserScan2dFromPointCloud(*pclScanNormal);
}
else
{
scan = is3D?util3d::laserScanFromPointCloud(*pclScan):util3d::laserScan2dFromPointCloud(*pclScan);
}
}
}
LaserScan laserScan(scan,
maxLaserScans,
0,
localScanTransform);
if(scanRangeMin_ > 0 || scanRangeMax_ > 0)
{
laserScan = util3d::rangeFiltering(laserScan, scanRangeMin_, scanRangeMax_);
}
if(!laserScan.isEmpty() && laserScan.hasNormals() && !laserScan.is2d() && scanNormalGroundUp_)
{
laserScan = util3d::adjustNormalsToViewPoint(laserScan, Eigen::Vector3f(0,0,10), (float)scanNormalGroundUp_);
}
rtabmap::SensorData data(
laserScan,
cv::Mat(),
cv::Mat(),
rtabmap::CameraModel(),
0,
rtabmap_conversions::timestampFromROS(cloudMsg->header.stamp));
this->processData(data, cloudMsg->header);
}
protected:
virtual void flushCallbacks()
{
// flush callbacks
}
void postProcessData(const SensorData & data, const std_msgs::Header & header) const
{
if(filtered_scan_pub_.getNumSubscribers())
{
sensor_msgs::PointCloud2 msg;
pcl_conversions::fromPCL(*rtabmap::util3d::laserScanToPointCloud2(data.laserScanRaw()), msg);
msg.header = header;
filtered_scan_pub_.publish(msg);
}
}
private:
ros::Subscriber scan_sub_;
ros::Subscriber cloud_sub_;
ros::Publisher filtered_scan_pub_;
int scanCloudMaxPoints_;
bool scanCloudIs2d_;
int scanDownsamplingStep_;
double scanRangeMin_;
double scanRangeMax_;
double scanVoxelSize_;
int scanNormalK_;
double scanNormalRadius_;
double scanNormalGroundUp_;
bool deskewing_;
bool deskewingSlerp_;
std::vector<boost::shared_ptr<rtabmap_odom::PluginInterface> > plugins_;
pluginlib::ClassLoader<rtabmap_odom::PluginInterface> plugin_loader_;
bool scanReceived_ = false;
bool cloudReceived_ = false;
};
PLUGINLIB_EXPORT_CLASS(rtabmap_odom::ICPOdometry, nodelet::Nodelet);
}
+850
View File
@@ -0,0 +1,850 @@
/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include <rtabmap_odom/OdometryROS.h>
#include <pluginlib/class_list_macros.hpp>
#include <nodelet/nodelet.h>
#include <message_filters/subscriber.h>
#include <message_filters/time_synchronizer.h>
#include <message_filters/sync_policies/approximate_time.h>
#include <image_transport/image_transport.h>
#include <image_transport/subscriber_filter.h>
#include <image_geometry/stereo_camera_model.h>
#include <sensor_msgs/Image.h>
#include <sensor_msgs/image_encodings.h>
#include <cv_bridge/cv_bridge.h>
#include "rtabmap_conversions/MsgConversion.h"
#include <rtabmap_msgs/RGBDImages.h>
#include <rtabmap/core/util3d.h>
#include <rtabmap/core/util2d.h>
#include <rtabmap/utilite/ULogger.h>
#include <rtabmap/utilite/UConversion.h>
#include <rtabmap/utilite/UStl.h>
using namespace rtabmap;
namespace rtabmap_odom
{
class RGBDOdometry : public OdometryROS
{
public:
RGBDOdometry() :
OdometryROS(false, true, false),
approxSync_(0),
exactSync_(0),
approxSync2_(0),
exactSync2_(0),
approxSync3_(0),
exactSync3_(0),
approxSync4_(0),
exactSync4_(0),
approxSync5_(0),
exactSync5_(0),
queueSize_(5),
keepColor_(false)
{
}
virtual ~RGBDOdometry()
{
rgbdSub_.shutdown();
rgbdxSub_.shutdown();
if(approxSync_)
{
delete approxSync_;
}
if(exactSync_)
{
delete exactSync_;
}
if(approxSync2_)
{
delete approxSync2_;
}
if(exactSync2_)
{
delete exactSync2_;
}
if(approxSync3_)
{
delete approxSync3_;
}
if(exactSync3_)
{
delete exactSync3_;
}
if(approxSync4_)
{
delete approxSync4_;
}
if(exactSync4_)
{
delete exactSync4_;
}
if(approxSync5_)
{
delete approxSync5_;
}
if(exactSync5_)
{
delete exactSync5_;
}
}
private:
virtual void onOdomInit()
{
ros::NodeHandle & nh = getNodeHandle();
ros::NodeHandle & pnh = getPrivateNodeHandle();
int rgbdCameras = 1;
bool approxSync = true;
bool subscribeRGBD = false;
double approxSyncMaxInterval = 0.0;
pnh.param("approx_sync", approxSync, approxSync);
pnh.param("approx_sync_max_interval", approxSyncMaxInterval, approxSyncMaxInterval);
pnh.param("queue_size", queueSize_, queueSize_);
pnh.param("subscribe_rgbd", subscribeRGBD, subscribeRGBD);
if(pnh.hasParam("depth_cameras"))
{
ROS_ERROR("\"depth_cameras\" parameter doesn't exist anymore. It is replaced by \"rgbd_cameras\" with the \"rgbd_image\" input topics. \"subscribe_rgbd\" should be also set to true.");
}
pnh.param("rgbd_cameras", rgbdCameras, rgbdCameras);
if(rgbdCameras < 0)
{
rgbdCameras = 0;
}
if(rgbdCameras > 5)
{
NODELET_FATAL("Only 5 cameras maximum supported yet. Set 0 to use rgbd_images input (for which rgbdx_sync node can sync up to 8 cameras).");
}
pnh.param("keep_color", keepColor_, keepColor_);
NODELET_INFO("RGBDOdometry: approx_sync = %s", approxSync?"true":"false");
if(approxSync)
NODELET_INFO("RGBDOdometry: approx_sync_max_interval = %f", approxSyncMaxInterval);
NODELET_INFO("RGBDOdometry: queue_size = %d", queueSize_);
NODELET_INFO("RGBDOdometry: subscribe_rgbd = %s", subscribeRGBD?"true":"false");
NODELET_INFO("RGBDOdometry: rgbd_cameras = %d", rgbdCameras);
NODELET_INFO("RGBDOdometry: keep_color = %s", keepColor_?"true":"false");
std::string subscribedTopicsMsg;
if(subscribeRGBD)
{
if(rgbdCameras >= 2)
{
rgbd_image1_sub_.subscribe(nh, "rgbd_image0", 1);
rgbd_image2_sub_.subscribe(nh, "rgbd_image1", 1);
if(rgbdCameras >= 3)
{
rgbd_image3_sub_.subscribe(nh, "rgbd_image2", 1);
}
if(rgbdCameras >= 4)
{
rgbd_image4_sub_.subscribe(nh, "rgbd_image3", 1);
}
if(rgbdCameras >= 5)
{
rgbd_image5_sub_.subscribe(nh, "rgbd_image4", 1);
}
if(rgbdCameras == 2)
{
if(approxSync)
{
approxSync2_ = new message_filters::Synchronizer<MyApproxSync2Policy>(
MyApproxSync2Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_);
if(approxSyncMaxInterval > 0.0)
approxSync2_->setMaxIntervalDuration(ros::Duration(approxSyncMaxInterval));
approxSync2_->registerCallback(boost::bind(&RGBDOdometry::callbackRGBD2, this, boost::placeholders::_1, boost::placeholders::_2));
}
else
{
exactSync2_ = new message_filters::Synchronizer<MyExactSync2Policy>(
MyExactSync2Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_);
exactSync2_->registerCallback(boost::bind(&RGBDOdometry::callbackRGBD2, this, boost::placeholders::_1, boost::placeholders::_2));
}
subscribedTopicsMsg = uFormat("\n%s subscribed to (%s sync%s):\n %s \\\n %s",
getName().c_str(),
approxSync?"approx":"exact",
approxSync&&approxSyncMaxInterval!=0.0?uFormat(", max interval=%fs", approxSyncMaxInterval).c_str():"",
rgbd_image1_sub_.getTopic().c_str(),
rgbd_image2_sub_.getTopic().c_str());
}
else if(rgbdCameras == 3)
{
if(approxSync)
{
approxSync3_ = new message_filters::Synchronizer<MyApproxSync3Policy>(
MyApproxSync3Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_);
if(approxSyncMaxInterval > 0.0)
approxSync3_->setMaxIntervalDuration(ros::Duration(approxSyncMaxInterval));
approxSync3_->registerCallback(boost::bind(&RGBDOdometry::callbackRGBD3, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3));
}
else
{
exactSync3_ = new message_filters::Synchronizer<MyExactSync3Policy>(
MyExactSync3Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_);
exactSync3_->registerCallback(boost::bind(&RGBDOdometry::callbackRGBD3, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3));
}
subscribedTopicsMsg = uFormat("\n%s subscribed to (%s sync%s):\n %s \\\n %s \\\n %s",
getName().c_str(),
approxSync?"approx":"exact",
approxSync&&approxSyncMaxInterval!=0.0?uFormat(", max interval=%fs", approxSyncMaxInterval).c_str():"",
rgbd_image1_sub_.getTopic().c_str(),
rgbd_image2_sub_.getTopic().c_str(),
rgbd_image3_sub_.getTopic().c_str());
}
else if(rgbdCameras == 4)
{
if(approxSync)
{
approxSync4_ = new message_filters::Synchronizer<MyApproxSync4Policy>(
MyApproxSync4Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_,
rgbd_image4_sub_);
if(approxSyncMaxInterval > 0.0)
approxSync4_->setMaxIntervalDuration(ros::Duration(approxSyncMaxInterval));
approxSync4_->registerCallback(boost::bind(&RGBDOdometry::callbackRGBD4, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
else
{
exactSync4_ = new message_filters::Synchronizer<MyExactSync4Policy>(
MyExactSync4Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_,
rgbd_image4_sub_);
exactSync4_->registerCallback(boost::bind(&RGBDOdometry::callbackRGBD4, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
subscribedTopicsMsg = uFormat("\n%s subscribed to (%s sync%s):\n %s \\\n %s \\\n %s \\\n %s",
getName().c_str(),
approxSync?"approx":"exact",
approxSync&&approxSyncMaxInterval!=0.0?uFormat(", max interval=%fs", approxSyncMaxInterval).c_str():"",
rgbd_image1_sub_.getTopic().c_str(),
rgbd_image2_sub_.getTopic().c_str(),
rgbd_image3_sub_.getTopic().c_str(),
rgbd_image4_sub_.getTopic().c_str());
}
else if(rgbdCameras == 5)
{
if(approxSync)
{
approxSync5_ = new message_filters::Synchronizer<MyApproxSync5Policy>(
MyApproxSync5Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_,
rgbd_image4_sub_,
rgbd_image5_sub_);
if(approxSyncMaxInterval > 0.0)
approxSync5_->setMaxIntervalDuration(ros::Duration(approxSyncMaxInterval));
approxSync5_->registerCallback(boost::bind(&RGBDOdometry::callbackRGBD5, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4, boost::placeholders::_5));
}
else
{
exactSync5_ = new message_filters::Synchronizer<MyExactSync5Policy>(
MyExactSync5Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_,
rgbd_image4_sub_,
rgbd_image5_sub_);
exactSync5_->registerCallback(boost::bind(&RGBDOdometry::callbackRGBD5, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4, boost::placeholders::_5));
}
subscribedTopicsMsg = uFormat("\n%s subscribed to (%s sync%s):\n %s \\\n %s \\\n %s \\\n %s \\\n %s",
getName().c_str(),
approxSync?"approx":"exact",
approxSync&&approxSyncMaxInterval!=0.0?uFormat(", max interval=%fs", approxSyncMaxInterval).c_str():"",
rgbd_image1_sub_.getTopic().c_str(),
rgbd_image2_sub_.getTopic().c_str(),
rgbd_image3_sub_.getTopic().c_str(),
rgbd_image4_sub_.getTopic().c_str(),
rgbd_image5_sub_.getTopic().c_str());
}
}
else if(rgbdCameras == 0)
{
rgbdxSub_ = nh.subscribe("rgbd_images", 1, &RGBDOdometry::callbackRGBDX, this);
subscribedTopicsMsg =
uFormat("\n%s subscribed to:\n %s",
getName().c_str(),
rgbdxSub_.getTopic().c_str());
}
else
{
rgbdSub_ = nh.subscribe("rgbd_image", 1, &RGBDOdometry::callbackRGBD, this);
subscribedTopicsMsg =
uFormat("\n%s subscribed to:\n %s",
getName().c_str(),
rgbdSub_.getTopic().c_str());
}
}
else
{
ros::NodeHandle rgb_nh(nh, "rgb");
ros::NodeHandle depth_nh(nh, "depth");
ros::NodeHandle rgb_pnh(pnh, "rgb");
ros::NodeHandle depth_pnh(pnh, "depth");
image_transport::ImageTransport rgb_it(rgb_nh);
image_transport::ImageTransport depth_it(depth_nh);
image_transport::TransportHints hintsRgb("raw", ros::TransportHints(), rgb_pnh);
image_transport::TransportHints hintsDepth("raw", ros::TransportHints(), depth_pnh);
image_mono_sub_.subscribe(rgb_it, rgb_nh.resolveName("image"), 1, hintsRgb);
image_depth_sub_.subscribe(depth_it, depth_nh.resolveName("image"), 1, hintsDepth);
info_sub_.subscribe(rgb_nh, "camera_info", 1);
if(approxSync)
{
approxSync_ = new message_filters::Synchronizer<MyApproxSyncPolicy>(MyApproxSyncPolicy(queueSize_), image_mono_sub_, image_depth_sub_, info_sub_);
if(approxSyncMaxInterval > 0.0)
approxSync_->setMaxIntervalDuration(ros::Duration(approxSyncMaxInterval));
approxSync_->registerCallback(boost::bind(&RGBDOdometry::callback, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3));
}
else
{
exactSync_ = new message_filters::Synchronizer<MyExactSyncPolicy>(MyExactSyncPolicy(queueSize_), image_mono_sub_, image_depth_sub_, info_sub_);
exactSync_->registerCallback(boost::bind(&RGBDOdometry::callback, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3));
}
subscribedTopicsMsg = uFormat("\n%s subscribed to (%s sync%s):\n %s \\\n %s \\\n %s",
getName().c_str(),
approxSync?"approx":"exact",
approxSync&&approxSyncMaxInterval!=0.0?uFormat(", max interval=%fs", approxSyncMaxInterval).c_str():"",
image_mono_sub_.getTopic().c_str(),
image_depth_sub_.getTopic().c_str(),
info_sub_.getTopic().c_str());
}
this->startWarningThread(subscribedTopicsMsg, approxSync);
}
virtual void updateParameters(ParametersMap & parameters)
{
//make sure we are using Reg/Strategy=0
ParametersMap::iterator iter = parameters.find(Parameters::kRegStrategy());
if(iter != parameters.end() && iter->second.compare("0") != 0)
{
ROS_WARN("RGBD odometry works only with \"Reg/Strategy\"=0. Ignoring value %s.", iter->second.c_str());
}
uInsert(parameters, ParametersPair(Parameters::kRegStrategy(), "0"));
int estimationType = Parameters::defaultVisEstimationType();
Parameters::parse(parameters, Parameters::kVisEstimationType(), estimationType);
ros::NodeHandle & pnh = getPrivateNodeHandle();
int rgbdCameras = 1;
bool subscribeRGBD = false;
pnh.param("subscribe_rgbd", subscribeRGBD, subscribeRGBD);
pnh.param("rgbd_cameras", rgbdCameras, rgbdCameras);
}
void commonCallback(
const std::vector<cv_bridge::CvImageConstPtr> & rgbImages,
const std::vector<cv_bridge::CvImageConstPtr> & depthImages,
const std::vector<sensor_msgs::CameraInfo>& cameraInfos)
{
ROS_ASSERT(rgbImages.size() > 0 && rgbImages.size() == depthImages.size() && rgbImages.size() == cameraInfos.size());
ros::Time higherStamp;
int imageWidth = rgbImages[0]->image.cols;
int imageHeight = rgbImages[0]->image.rows;
int depthWidth = depthImages[0]->image.cols;
int depthHeight = depthImages[0]->image.rows;
UASSERT_MSG(
imageWidth/depthWidth == imageHeight/depthHeight,
uFormat("rgb=%dx%d depth=%dx%d", imageWidth, imageHeight, depthWidth, depthHeight).c_str());
int cameraCount = rgbImages.size();
cv::Mat rgb;
cv::Mat depth;
std::vector<rtabmap::CameraModel> cameraModels;
for(unsigned int i=0; i<rgbImages.size(); ++i)
{
if(!(rgbImages[i]->encoding.compare(sensor_msgs::image_encodings::TYPE_8UC1) ==0 ||
rgbImages[i]->encoding.compare(sensor_msgs::image_encodings::MONO8) ==0 ||
rgbImages[i]->encoding.compare(sensor_msgs::image_encodings::MONO16) ==0 ||
rgbImages[i]->encoding.compare(sensor_msgs::image_encodings::BGR8) == 0 ||
rgbImages[i]->encoding.compare(sensor_msgs::image_encodings::RGB8) == 0 ||
rgbImages[i]->encoding.compare(sensor_msgs::image_encodings::BGRA8) == 0 ||
rgbImages[i]->encoding.compare(sensor_msgs::image_encodings::RGBA8) == 0 ||
rgbImages[i]->encoding.compare(sensor_msgs::image_encodings::BAYER_GRBG8) == 0) ||
!(depthImages[i]->encoding.compare(sensor_msgs::image_encodings::TYPE_16UC1) == 0 ||
depthImages[i]->encoding.compare(sensor_msgs::image_encodings::TYPE_32FC1) == 0 ||
depthImages[i]->encoding.compare(sensor_msgs::image_encodings::MONO16) == 0))
{
NODELET_ERROR("Input type must be image=mono8,mono16,rgb8,bgr8,bgra8,rgba8 and "
"image_depth=32FC1,16UC1,mono16. Current rgb=%s and depth=%s",
rgbImages[i]->encoding.c_str(),
depthImages[i]->encoding.c_str());
return;
}
UASSERT_MSG(rgbImages[i]->image.cols == imageWidth && rgbImages[i]->image.rows == imageHeight,
uFormat("imageWidth=%d vs %d imageHeight=%d vs %d",
imageWidth,
rgbImages[i]->image.cols,
imageHeight,
rgbImages[i]->image.rows).c_str());
UASSERT_MSG(depthImages[i]->image.cols == depthWidth && depthImages[i]->image.rows == depthHeight,
uFormat("depthWidth=%d vs %d depthHeight=%d vs %d",
depthWidth,
depthImages[i]->image.cols,
depthHeight,
depthImages[i]->image.rows).c_str());
ros::Time stamp = rgbImages[i]->header.stamp>depthImages[i]->header.stamp?rgbImages[i]->header.stamp:depthImages[i]->header.stamp;
if(i == 0)
{
higherStamp = stamp;
}
else if(stamp > higherStamp)
{
higherStamp = stamp;
}
Transform localTransform = rtabmap_conversions::getTransform(this->frameId(), rgbImages[i]->header.frame_id, stamp, this->tfListener(), this->waitForTransformDuration());
if(localTransform.isNull())
{
return;
}
if(i>0)
{
double stampDiff = fabs(rgbImages[i]->header.stamp.toSec() - rgbImages[i-1]->header.stamp.toSec());
if(stampDiff > 1.0/60.0)
{
static bool warningShown = false;
if(!warningShown)
{
NODELET_WARN("The time difference between cameras %d and %d is "
"high (diff=%fs, cam%d=%fs, cam%d=%fs). You may want "
"to set approx_sync_max_interval to reject bad synchronizations or use "
"approx_sync=false if streams have all the exact same timestamp. This "
"message is only printed once.",
i-1, i,
stampDiff,
i-1, rgbImages[i-1]->header.stamp.toSec(),
i, rgbImages[i]->header.stamp.toSec());
warningShown = true;
}
}
}
cv_bridge::CvImageConstPtr ptrImage = rgbImages[i];
if(rgbImages[i]->encoding.compare(sensor_msgs::image_encodings::TYPE_8UC1) !=0 &&
rgbImages[i]->encoding.compare(sensor_msgs::image_encodings::MONO8) != 0)
{
if(keepColor_ && rgbImages[i]->encoding.compare(sensor_msgs::image_encodings::MONO16) != 0)
{
ptrImage = cv_bridge::cvtColor(rgbImages[i], "bgr8");
}
else
{
ptrImage = cv_bridge::cvtColor(rgbImages[i], "mono8");
}
}
cv_bridge::CvImageConstPtr ptrDepth = depthImages[i];
// initialize
if(rgb.empty())
{
rgb = cv::Mat(imageHeight, imageWidth*cameraCount, ptrImage->image.type());
}
if(depth.empty())
{
depth = cv::Mat(depthHeight, depthWidth*cameraCount, ptrDepth->image.type());
}
if(ptrImage->image.type() == rgb.type())
{
ptrImage->image.copyTo(cv::Mat(rgb, cv::Rect(i*imageWidth, 0, imageWidth, imageHeight)));
}
else
{
NODELET_ERROR("Some RGB images are not the same type! %d vs %d", ptrImage->image.type(), rgb.type());
return;
}
if(ptrDepth->image.type() == depth.type())
{
ptrDepth->image.copyTo(cv::Mat(depth, cv::Rect(i*depthWidth, 0, depthWidth, depthHeight)));
}
else
{
NODELET_ERROR("Some Depth images are not the same type! %d vs %d", ptrDepth->image.type(), depth.type());
return;
}
cameraModels.push_back(rtabmap_conversions::cameraModelFromROS(cameraInfos[i], localTransform));
}
rtabmap::SensorData data(
rgb,
depth,
cameraModels,
0,
rtabmap_conversions::timestampFromROS(higherStamp));
std_msgs::Header header;
header.stamp = higherStamp;
header.frame_id = rgbImages.size()==1?rgbImages[0]->header.frame_id:"";
this->processData(data, header);
}
void callback(
const sensor_msgs::ImageConstPtr& image,
const sensor_msgs::ImageConstPtr& depth,
const sensor_msgs::CameraInfoConstPtr& cameraInfo)
{
callbackCalled();
if(!this->isPaused())
{
std::vector<cv_bridge::CvImageConstPtr> imageMsgs(1);
std::vector<cv_bridge::CvImageConstPtr> depthMsgs(1);
std::vector<sensor_msgs::CameraInfo> infoMsgs;
imageMsgs[0] = cv_bridge::toCvShare(image);
depthMsgs[0] = cv_bridge::toCvShare(depth);
infoMsgs.push_back(*cameraInfo);
double stampDiff = fabs(image->header.stamp.toSec() - depth->header.stamp.toSec());
if(stampDiff > 0.020)
{
NODELET_WARN("The time difference between rgb and depth frames is "
"high (diff=%fs, rgb=%fs, depth=%fs). You may want "
"to set approx_sync_max_interval lower than 0.02s to reject spurious bad synchronizations or use "
"approx_sync=false if streams have all the exact same timestamp.",
stampDiff,
image->header.stamp.toSec(),
depth->header.stamp.toSec());
}
this->commonCallback(imageMsgs, depthMsgs, infoMsgs);
}
}
void callbackRGBD(
const rtabmap_msgs::RGBDImageConstPtr& image)
{
callbackCalled();
if(!this->isPaused())
{
std::vector<cv_bridge::CvImageConstPtr> imageMsgs(1);
std::vector<cv_bridge::CvImageConstPtr> depthMsgs(1);
std::vector<sensor_msgs::CameraInfo> infoMsgs;
rtabmap_conversions::toCvShare(image, imageMsgs[0], depthMsgs[0]);
infoMsgs.push_back(image->rgb_camera_info);
this->commonCallback(imageMsgs, depthMsgs, infoMsgs);
}
}
void callbackRGBDX(
const rtabmap_msgs::RGBDImagesConstPtr& images)
{
callbackCalled();
if(!this->isPaused())
{
if(images->rgbd_images.empty())
{
NODELET_ERROR("Input topic \"%s\" doesn't contain any image(s)!", rgbdxSub_.getTopic().c_str());
return;
}
std::vector<cv_bridge::CvImageConstPtr> imageMsgs(images->rgbd_images.size());
std::vector<cv_bridge::CvImageConstPtr> depthMsgs(images->rgbd_images.size());
std::vector<sensor_msgs::CameraInfo> infoMsgs;
for(size_t i=0; i<images->rgbd_images.size(); ++i)
{
rtabmap_conversions::toCvShare(images->rgbd_images[i], images, imageMsgs[i], depthMsgs[i]);
infoMsgs.push_back(images->rgbd_images[i].rgb_camera_info);
}
this->commonCallback(imageMsgs, depthMsgs, infoMsgs);
}
}
void callbackRGBD2(
const rtabmap_msgs::RGBDImageConstPtr& image,
const rtabmap_msgs::RGBDImageConstPtr& image2)
{
callbackCalled();
if(!this->isPaused())
{
std::vector<cv_bridge::CvImageConstPtr> imageMsgs(2);
std::vector<cv_bridge::CvImageConstPtr> depthMsgs(2);
std::vector<sensor_msgs::CameraInfo> infoMsgs;
rtabmap_conversions::toCvShare(image, imageMsgs[0], depthMsgs[0]);
rtabmap_conversions::toCvShare(image2, imageMsgs[1], depthMsgs[1]);
infoMsgs.push_back(image->rgb_camera_info);
infoMsgs.push_back(image2->rgb_camera_info);
this->commonCallback(imageMsgs, depthMsgs, infoMsgs);
}
}
void callbackRGBD3(
const rtabmap_msgs::RGBDImageConstPtr& image,
const rtabmap_msgs::RGBDImageConstPtr& image2,
const rtabmap_msgs::RGBDImageConstPtr& image3)
{
callbackCalled();
if(!this->isPaused())
{
std::vector<cv_bridge::CvImageConstPtr> imageMsgs(3);
std::vector<cv_bridge::CvImageConstPtr> depthMsgs(3);
std::vector<sensor_msgs::CameraInfo> infoMsgs;
rtabmap_conversions::toCvShare(image, imageMsgs[0], depthMsgs[0]);
rtabmap_conversions::toCvShare(image2, imageMsgs[1], depthMsgs[1]);
rtabmap_conversions::toCvShare(image3, imageMsgs[2], depthMsgs[2]);
infoMsgs.push_back(image->rgb_camera_info);
infoMsgs.push_back(image2->rgb_camera_info);
infoMsgs.push_back(image3->rgb_camera_info);
this->commonCallback(imageMsgs, depthMsgs, infoMsgs);
}
}
void callbackRGBD4(
const rtabmap_msgs::RGBDImageConstPtr& image,
const rtabmap_msgs::RGBDImageConstPtr& image2,
const rtabmap_msgs::RGBDImageConstPtr& image3,
const rtabmap_msgs::RGBDImageConstPtr& image4)
{
callbackCalled();
if(!this->isPaused())
{
std::vector<cv_bridge::CvImageConstPtr> imageMsgs(4);
std::vector<cv_bridge::CvImageConstPtr> depthMsgs(4);
std::vector<sensor_msgs::CameraInfo> infoMsgs;
rtabmap_conversions::toCvShare(image, imageMsgs[0], depthMsgs[0]);
rtabmap_conversions::toCvShare(image2, imageMsgs[1], depthMsgs[1]);
rtabmap_conversions::toCvShare(image3, imageMsgs[2], depthMsgs[2]);
rtabmap_conversions::toCvShare(image4, imageMsgs[3], depthMsgs[3]);
infoMsgs.push_back(image->rgb_camera_info);
infoMsgs.push_back(image2->rgb_camera_info);
infoMsgs.push_back(image3->rgb_camera_info);
infoMsgs.push_back(image4->rgb_camera_info);
this->commonCallback(imageMsgs, depthMsgs, infoMsgs);
}
}
void callbackRGBD5(
const rtabmap_msgs::RGBDImageConstPtr& image,
const rtabmap_msgs::RGBDImageConstPtr& image2,
const rtabmap_msgs::RGBDImageConstPtr& image3,
const rtabmap_msgs::RGBDImageConstPtr& image4,
const rtabmap_msgs::RGBDImageConstPtr& image5)
{
callbackCalled();
if(!this->isPaused())
{
std::vector<cv_bridge::CvImageConstPtr> imageMsgs(5);
std::vector<cv_bridge::CvImageConstPtr> depthMsgs(5);
std::vector<sensor_msgs::CameraInfo> infoMsgs;
rtabmap_conversions::toCvShare(image, imageMsgs[0], depthMsgs[0]);
rtabmap_conversions::toCvShare(image2, imageMsgs[1], depthMsgs[1]);
rtabmap_conversions::toCvShare(image3, imageMsgs[2], depthMsgs[2]);
rtabmap_conversions::toCvShare(image4, imageMsgs[3], depthMsgs[3]);
rtabmap_conversions::toCvShare(image5, imageMsgs[4], depthMsgs[4]);
infoMsgs.push_back(image->rgb_camera_info);
infoMsgs.push_back(image2->rgb_camera_info);
infoMsgs.push_back(image3->rgb_camera_info);
infoMsgs.push_back(image4->rgb_camera_info);
infoMsgs.push_back(image5->rgb_camera_info);
this->commonCallback(imageMsgs, depthMsgs, infoMsgs);
}
}
protected:
virtual void flushCallbacks()
{
// flush callbacks
if(approxSync_)
{
delete approxSync_;
approxSync_ = new message_filters::Synchronizer<MyApproxSyncPolicy>(MyApproxSyncPolicy(queueSize_), image_mono_sub_, image_depth_sub_, info_sub_);
approxSync_->registerCallback(boost::bind(&RGBDOdometry::callback, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3));
}
if(exactSync_)
{
delete exactSync_;
exactSync_ = new message_filters::Synchronizer<MyExactSyncPolicy>(MyExactSyncPolicy(queueSize_), image_mono_sub_, image_depth_sub_, info_sub_);
exactSync_->registerCallback(boost::bind(&RGBDOdometry::callback, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3));
}
if(approxSync2_)
{
delete approxSync2_;
approxSync2_ = new message_filters::Synchronizer<MyApproxSync2Policy>(
MyApproxSync2Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_);
approxSync2_->registerCallback(boost::bind(&RGBDOdometry::callbackRGBD2, this, boost::placeholders::_1, boost::placeholders::_2));
}
if(exactSync2_)
{
delete exactSync2_;
exactSync2_ = new message_filters::Synchronizer<MyExactSync2Policy>(
MyExactSync2Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_);
exactSync2_->registerCallback(boost::bind(&RGBDOdometry::callbackRGBD2, this, boost::placeholders::_1, boost::placeholders::_2));
}
if(approxSync3_)
{
delete approxSync3_;
approxSync3_ = new message_filters::Synchronizer<MyApproxSync3Policy>(
MyApproxSync3Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_);
approxSync3_->registerCallback(boost::bind(&RGBDOdometry::callbackRGBD3, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3));
}
if(exactSync3_)
{
delete exactSync3_;
exactSync3_ = new message_filters::Synchronizer<MyExactSync3Policy>(
MyExactSync3Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_);
exactSync3_->registerCallback(boost::bind(&RGBDOdometry::callbackRGBD3, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3));
}
if(approxSync4_)
{
delete approxSync4_;
approxSync4_ = new message_filters::Synchronizer<MyApproxSync4Policy>(
MyApproxSync4Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_,
rgbd_image4_sub_);
approxSync4_->registerCallback(boost::bind(&RGBDOdometry::callbackRGBD4, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
if(exactSync4_)
{
delete exactSync4_;
exactSync4_ = new message_filters::Synchronizer<MyExactSync4Policy>(
MyExactSync4Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_,
rgbd_image4_sub_);
exactSync4_->registerCallback(boost::bind(&RGBDOdometry::callbackRGBD4, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
if(approxSync5_)
{
delete approxSync5_;
approxSync5_ = new message_filters::Synchronizer<MyApproxSync5Policy>(
MyApproxSync5Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_,
rgbd_image4_sub_,
rgbd_image5_sub_);
approxSync5_->registerCallback(boost::bind(&RGBDOdometry::callbackRGBD5, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4, boost::placeholders::_5));
}
if(exactSync5_)
{
delete exactSync5_;
exactSync5_ = new message_filters::Synchronizer<MyExactSync5Policy>(
MyExactSync5Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_,
rgbd_image4_sub_,
rgbd_image5_sub_);
exactSync5_->registerCallback(boost::bind(&RGBDOdometry::callbackRGBD5, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4, boost::placeholders::_5));
}
}
private:
image_transport::SubscriberFilter image_mono_sub_;
image_transport::SubscriberFilter image_depth_sub_;
message_filters::Subscriber<sensor_msgs::CameraInfo> info_sub_;
ros::Subscriber rgbdSub_;
ros::Subscriber rgbdxSub_;
message_filters::Subscriber<rtabmap_msgs::RGBDImage> rgbd_image1_sub_;
message_filters::Subscriber<rtabmap_msgs::RGBDImage> rgbd_image2_sub_;
message_filters::Subscriber<rtabmap_msgs::RGBDImage> rgbd_image3_sub_;
message_filters::Subscriber<rtabmap_msgs::RGBDImage> rgbd_image4_sub_;
message_filters::Subscriber<rtabmap_msgs::RGBDImage> rgbd_image5_sub_;
typedef message_filters::sync_policies::ApproximateTime<sensor_msgs::Image, sensor_msgs::Image, sensor_msgs::CameraInfo> MyApproxSyncPolicy;
message_filters::Synchronizer<MyApproxSyncPolicy> * approxSync_;
typedef message_filters::sync_policies::ExactTime<sensor_msgs::Image, sensor_msgs::Image, sensor_msgs::CameraInfo> MyExactSyncPolicy;
message_filters::Synchronizer<MyExactSyncPolicy> * exactSync_;
typedef message_filters::sync_policies::ApproximateTime<rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage> MyApproxSync2Policy;
message_filters::Synchronizer<MyApproxSync2Policy> * approxSync2_;
typedef message_filters::sync_policies::ExactTime<rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage> MyExactSync2Policy;
message_filters::Synchronizer<MyExactSync2Policy> * exactSync2_;
typedef message_filters::sync_policies::ApproximateTime<rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage> MyApproxSync3Policy;
message_filters::Synchronizer<MyApproxSync3Policy> * approxSync3_;
typedef message_filters::sync_policies::ExactTime<rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage> MyExactSync3Policy;
message_filters::Synchronizer<MyExactSync3Policy> * exactSync3_;
typedef message_filters::sync_policies::ApproximateTime<rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage> MyApproxSync4Policy;
message_filters::Synchronizer<MyApproxSync4Policy> * approxSync4_;
typedef message_filters::sync_policies::ExactTime<rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage> MyExactSync4Policy;
message_filters::Synchronizer<MyExactSync4Policy> * exactSync4_;
typedef message_filters::sync_policies::ApproximateTime<rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage> MyApproxSync5Policy;
message_filters::Synchronizer<MyApproxSync5Policy> * approxSync5_;
typedef message_filters::sync_policies::ExactTime<rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage> MyExactSync5Policy;
message_filters::Synchronizer<MyExactSync5Policy> * exactSync5_;
int queueSize_;
bool keepColor_;
};
PLUGINLIB_EXPORT_CLASS(rtabmap_odom::RGBDOdometry, nodelet::Nodelet);
}
@@ -0,0 +1,511 @@
/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include <rtabmap_odom/OdometryROS.h>
#include <pluginlib/class_list_macros.hpp>
#include <nodelet/nodelet.h>
#include <message_filters/subscriber.h>
#include <message_filters/time_synchronizer.h>
#include <message_filters/sync_policies/approximate_time.h>
#include <image_transport/image_transport.h>
#include <image_transport/subscriber_filter.h>
#include <image_geometry/stereo_camera_model.h>
#include <laser_geometry/laser_geometry.h>
#include <sensor_msgs/Image.h>
#include <sensor_msgs/image_encodings.h>
#include <cv_bridge/cv_bridge.h>
#include <sensor_msgs/LaserScan.h>
#include <sensor_msgs/PointCloud2.h>
#include <pcl_conversions/pcl_conversions.h>
#include "rtabmap_conversions/MsgConversion.h"
#include <rtabmap/core/util3d.h>
#include <rtabmap/core/util3d_surface.h>
#include <rtabmap/core/util3d_transforms.h>
#include <rtabmap/core/util3d_filtering.h>
#include <rtabmap/core/util2d.h>
#include <rtabmap/utilite/ULogger.h>
#include <rtabmap/utilite/UConversion.h>
#include <rtabmap/utilite/UStl.h>
using namespace rtabmap;
namespace rtabmap_odom
{
class RGBDICPOdometry : public OdometryROS
{
public:
RGBDICPOdometry() :
OdometryROS(false, true, true),
approxScanSync_(0),
exactScanSync_(0),
approxCloudSync_(0),
exactCloudSync_(0),
queueSize_(5),
keepColor_(false),
scanCloudMaxPoints_(0),
scanVoxelSize_(0.0),
scanNormalK_(0),
scanNormalRadius_(0.0)
{
}
virtual ~RGBDICPOdometry()
{
if(approxScanSync_)
{
delete approxScanSync_;
}
if(exactScanSync_)
{
delete exactScanSync_;
}
if(approxCloudSync_)
{
delete approxCloudSync_;
}
if(exactCloudSync_)
{
delete exactCloudSync_;
}
}
private:
virtual void onOdomInit()
{
ros::NodeHandle & nh = getNodeHandle();
ros::NodeHandle & pnh = getPrivateNodeHandle();
bool approxSync = true;
bool subscribeScanCloud = false;
double approxSyncMaxInterval = 0.0;
pnh.param("approx_sync", approxSync, approxSync);
pnh.param("approx_sync_max_interval", approxSyncMaxInterval, approxSyncMaxInterval);
pnh.param("queue_size", queueSize_, queueSize_);
pnh.param("subscribe_scan_cloud", subscribeScanCloud, subscribeScanCloud);
pnh.param("scan_cloud_max_points", scanCloudMaxPoints_, scanCloudMaxPoints_);
pnh.param("scan_voxel_size", scanVoxelSize_, scanVoxelSize_);
pnh.param("scan_normal_k", scanNormalK_, scanNormalK_);
if(pnh.hasParam("scan_cloud_normal_k") && !pnh.hasParam("scan_normal_k"))
{
ROS_WARN("rtabmap: Parameter \"scan_cloud_normal_k\" has been renamed to \"scan_normal_k\". "
"The value is still used. Use \"scan_normal_k\" to avoid this warning.");
pnh.param("scan_cloud_normal_k", scanNormalK_, scanNormalK_);
}
pnh.param("scan_normal_radius", scanNormalRadius_, scanNormalRadius_);
pnh.param("keep_color", keepColor_, keepColor_);
NODELET_INFO("RGBDIcpOdometry: approx_sync = %s", approxSync?"true":"false");
if(approxSync)
NODELET_INFO("RGBDIcpOdometry: approx_sync_max_interval = %f", approxSyncMaxInterval);
NODELET_INFO("RGBDIcpOdometry: queue_size = %d", queueSize_);
NODELET_INFO("RGBDIcpOdometry: subscribe_scan_cloud = %s", subscribeScanCloud?"true":"false");
NODELET_INFO("RGBDIcpOdometry: scan_cloud_max_points = %d", scanCloudMaxPoints_);
NODELET_INFO("RGBDIcpOdometry: scan_voxel_size = %f", scanVoxelSize_);
NODELET_INFO("RGBDIcpOdometry: scan_normal_k = %d", scanNormalK_);
NODELET_INFO("RGBDIcpOdometry: scan_normal_radius = %f", scanNormalRadius_);
NODELET_INFO("RGBDIcpOdometry: keep_color = %s", keepColor_?"true":"false");
ros::NodeHandle rgb_nh(nh, "rgb");
ros::NodeHandle depth_nh(nh, "depth");
ros::NodeHandle rgb_pnh(pnh, "rgb");
ros::NodeHandle depth_pnh(pnh, "depth");
image_transport::ImageTransport rgb_it(rgb_nh);
image_transport::ImageTransport depth_it(depth_nh);
image_transport::TransportHints hintsRgb("raw", ros::TransportHints(), rgb_pnh);
image_transport::TransportHints hintsDepth("raw", ros::TransportHints(), depth_pnh);
image_mono_sub_.subscribe(rgb_it, rgb_nh.resolveName("image"), 1, hintsRgb);
image_depth_sub_.subscribe(depth_it, depth_nh.resolveName("image"), 1, hintsDepth);
info_sub_.subscribe(rgb_nh, "camera_info", 1);
std::string subscribedTopicsMsg;
if(subscribeScanCloud)
{
cloud_sub_.subscribe(nh, "scan_cloud", 1);
if(approxSync)
{
approxCloudSync_ = new message_filters::Synchronizer<MyApproxCloudSyncPolicy>(MyApproxCloudSyncPolicy(queueSize_), image_mono_sub_, image_depth_sub_, info_sub_, cloud_sub_);
if(approxSyncMaxInterval > 0.0)
approxCloudSync_->setMaxIntervalDuration(ros::Duration(approxSyncMaxInterval));
approxCloudSync_->registerCallback(boost::bind(&RGBDICPOdometry::callbackCloud, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
else
{
exactCloudSync_ = new message_filters::Synchronizer<MyExactCloudSyncPolicy>(MyExactCloudSyncPolicy(queueSize_), image_mono_sub_, image_depth_sub_, info_sub_, cloud_sub_);
exactCloudSync_->registerCallback(boost::bind(&RGBDICPOdometry::callbackCloud, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
subscribedTopicsMsg = uFormat("\n%s subscribed to (%s sync%s):\n %s,\n %s,\n %s, \n %s",
getName().c_str(),
approxSync?"approx":"exact",
approxSync&&approxSyncMaxInterval!=0.0?uFormat(", max interval=%fs", approxSyncMaxInterval).c_str():"",
image_mono_sub_.getTopic().c_str(),
image_depth_sub_.getTopic().c_str(),
info_sub_.getTopic().c_str(),
cloud_sub_.getTopic().c_str());
}
else
{
scan_sub_.subscribe(nh, "scan", 1);
if(approxSync)
{
approxScanSync_ = new message_filters::Synchronizer<MyApproxScanSyncPolicy>(MyApproxScanSyncPolicy(queueSize_), image_mono_sub_, image_depth_sub_, info_sub_, scan_sub_);
if(approxSyncMaxInterval > 0.0)
approxScanSync_->setMaxIntervalDuration(ros::Duration(approxSyncMaxInterval));
approxScanSync_->registerCallback(boost::bind(&RGBDICPOdometry::callbackScan, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
else
{
exactScanSync_ = new message_filters::Synchronizer<MyExactScanSyncPolicy>(MyExactScanSyncPolicy(queueSize_), image_mono_sub_, image_depth_sub_, info_sub_, scan_sub_);
exactScanSync_->registerCallback(boost::bind(&RGBDICPOdometry::callbackScan, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
subscribedTopicsMsg = uFormat("\n%s subscribed to (%s sync%s):\n %s \\\n %s \\\n %s \\\n %s",
getName().c_str(),
approxSync?"approx":"exact",
approxSync&&approxSyncMaxInterval!=0.0?uFormat(", max interval=%fs", approxSyncMaxInterval).c_str():"",
image_mono_sub_.getTopic().c_str(),
image_depth_sub_.getTopic().c_str(),
info_sub_.getTopic().c_str(),
scan_sub_.getTopic().c_str());
}
this->startWarningThread(subscribedTopicsMsg, approxSync);
}
virtual void updateParameters(ParametersMap & parameters)
{
//make sure we are using Reg/Strategy=0
ParametersMap::iterator iter = parameters.find(Parameters::kRegStrategy());
if(iter != parameters.end() && iter->second.compare("0") != 0)
{
ROS_WARN("RGBDICP odometry works only with \"Reg/Strategy\"=2. Ignoring value %s.", iter->second.c_str());
}
uInsert(parameters, ParametersPair(Parameters::kRegStrategy(), "2"));
}
void callbackScan(
const sensor_msgs::ImageConstPtr& image,
const sensor_msgs::ImageConstPtr& depth,
const sensor_msgs::CameraInfoConstPtr& cameraInfo,
const sensor_msgs::LaserScanConstPtr& scanMsg)
{
sensor_msgs::PointCloud2ConstPtr cloudMsg;
callbackCommon(image, depth, cameraInfo, scanMsg, cloudMsg);
}
void callbackCloud(
const sensor_msgs::ImageConstPtr& image,
const sensor_msgs::ImageConstPtr& depth,
const sensor_msgs::CameraInfoConstPtr& cameraInfo,
const sensor_msgs::PointCloud2ConstPtr& cloudMsg)
{
sensor_msgs::LaserScanConstPtr scanMsg;
callbackCommon(image, depth, cameraInfo, scanMsg, cloudMsg);
}
void callbackCommon(
const sensor_msgs::ImageConstPtr& image,
const sensor_msgs::ImageConstPtr& depth,
const sensor_msgs::CameraInfoConstPtr& cameraInfo,
const sensor_msgs::LaserScanConstPtr& scanMsg,
const sensor_msgs::PointCloud2ConstPtr& cloudMsg)
{
callbackCalled();
if(!this->isPaused())
{
if(!(image->encoding.compare(sensor_msgs::image_encodings::TYPE_8UC1) ==0 ||
image->encoding.compare(sensor_msgs::image_encodings::MONO8) ==0 ||
image->encoding.compare(sensor_msgs::image_encodings::MONO16) ==0 ||
image->encoding.compare(sensor_msgs::image_encodings::BGR8) == 0 ||
image->encoding.compare(sensor_msgs::image_encodings::RGB8) == 0 ||
image->encoding.compare(sensor_msgs::image_encodings::BGRA8) == 0 ||
image->encoding.compare(sensor_msgs::image_encodings::RGBA8) == 0 ||
image->encoding.compare(sensor_msgs::image_encodings::BAYER_GRBG8) == 0) ||
!(depth->encoding.compare(sensor_msgs::image_encodings::TYPE_16UC1)==0 ||
depth->encoding.compare(sensor_msgs::image_encodings::TYPE_32FC1)==0 ||
depth->encoding.compare(sensor_msgs::image_encodings::MONO16)==0))
{
NODELET_ERROR("Input type must be image=mono8,mono16,rgb8,bgr8,rgba8,bgra8 (mono8 "
"recommended) and image_depth=16UC1,32FC1,mono16. Types detected: %s %s",
image->encoding.c_str(), depth->encoding.c_str());
return;
}
// use the highest stamp to make sure that there will be no future interpolation required when synchronized with another node
ros::Time stamp = image->header.stamp > depth->header.stamp? image->header.stamp : depth->header.stamp;
if(scanMsg.get() != 0)
{
if(stamp < scanMsg->header.stamp)
{
stamp = scanMsg->header.stamp;
}
}
else if(cloudMsg.get() != 0)
{
if(stamp < cloudMsg->header.stamp)
{
stamp = cloudMsg->header.stamp;
}
}
Transform localTransform = rtabmap_conversions::getTransform(this->frameId(), image->header.frame_id, stamp, this->tfListener(), this->waitForTransformDuration());
if(localTransform.isNull())
{
return;
}
double stampDiff = fabs(image->header.stamp.toSec() - depth->header.stamp.toSec());
if(stampDiff > 0.010)
{
NODELET_WARN("The time difference between rgb and depth frames is "
"high (diff=%fs, rgb=%fs, depth=%fs). You may want "
"to set approx_sync_max_interval lower than 0.01s to reject spurious bad synchronizations or use "
"approx_sync=false if streams have all the exact same timestamp.",
stampDiff,
image->header.stamp.toSec(),
depth->header.stamp.toSec());
}
if(image->data.size() && depth->data.size() && cameraInfo->K[4] != 0)
{
rtabmap::CameraModel rtabmapModel = rtabmap_conversions::cameraModelFromROS(*cameraInfo, localTransform);
cv_bridge::CvImagePtr ptrImage = cv_bridge::toCvCopy(image,
image->encoding.compare(sensor_msgs::image_encodings::TYPE_8UC1)==0 ||
image->encoding.compare(sensor_msgs::image_encodings::MONO8)==0?"":
keepColor_ && image->encoding.compare(sensor_msgs::image_encodings::MONO16)!=0?"bgr8":"mono8");
cv_bridge::CvImagePtr ptrDepth = cv_bridge::toCvCopy(depth);
LaserScan scan;
Transform localScanTransform = Transform::getIdentity();
int maxLaserScans = 0;
if(scanMsg.get() != 0)
{
// make sure the frame of the laser is updated too
localScanTransform = rtabmap_conversions::getTransform(this->frameId(),
scanMsg->header.frame_id,
scanMsg->header.stamp + ros::Duration().fromSec(scanMsg->ranges.size()*scanMsg->time_increment),
this->tfListener(),
this->waitForTransformDuration());
if(localScanTransform.isNull())
{
ROS_ERROR("TF of received laser scan topic at time %fs is not set, aborting odometry update.", scanMsg->header.stamp.toSec());
return;
}
//transform in frameId_ frame
sensor_msgs::PointCloud2 scanOut;
laser_geometry::LaserProjection projection;
projection.transformLaserScanToPointCloud(scanMsg->header.frame_id, *scanMsg, scanOut, this->tfListener());
pcl::PointCloud<pcl::PointXYZ>::Ptr pclScan(new pcl::PointCloud<pcl::PointXYZ>);
pcl::fromROSMsg(scanOut, *pclScan);
pclScan->is_dense = true;
maxLaserScans = (int)scanMsg->ranges.size();
if(pclScan->size())
{
if(scanVoxelSize_ > 0.0f)
{
float pointsBeforeFiltering = (float)pclScan->size();
pclScan = util3d::voxelize(pclScan, scanVoxelSize_);
float ratio = float(pclScan->size()) / pointsBeforeFiltering;
maxLaserScans = int(float(maxLaserScans) * ratio);
}
if(scanNormalK_ > 0 || scanNormalRadius_>0.0f)
{
//compute normals
pcl::PointCloud<pcl::Normal>::Ptr normals;
if(scanVoxelSize_ > 0.0f)
{
normals = util3d::computeNormals2D(pclScan, scanNormalK_, scanNormalRadius_);
}
else
{
normals = util3d::computeFastOrganizedNormals2D(pclScan, scanNormalK_, scanNormalRadius_);
}
pcl::PointCloud<pcl::PointNormal>::Ptr pclScanNormal(new pcl::PointCloud<pcl::PointNormal>);
pcl::concatenateFields(*pclScan, *normals, *pclScanNormal);
scan = util3d::laserScan2dFromPointCloud(*pclScanNormal);
}
else
{
scan = util3d::laserScan2dFromPointCloud(*pclScan);
}
}
}
else if(cloudMsg.get() != 0)
{
UASSERT_MSG(cloudMsg->data.size() == cloudMsg->row_step*cloudMsg->height,
uFormat("data=%d row_step=%d height=%d", cloudMsg->data.size(), cloudMsg->row_step, cloudMsg->height).c_str());
bool containNormals = false;
if(scanVoxelSize_ == 0.0f)
{
for(unsigned int i=0; i<cloudMsg->fields.size(); ++i)
{
if(cloudMsg->fields[i].name.compare("normal_x") == 0)
{
containNormals = true;
break;
}
}
}
localScanTransform = rtabmap_conversions::getTransform(this->frameId(), cloudMsg->header.frame_id, cloudMsg->header.stamp, this->tfListener(), this->waitForTransformDuration());
if(localScanTransform.isNull())
{
ROS_ERROR("TF of received scan cloud at time %fs is not set, aborting rtabmap update.", cloudMsg->header.stamp.toSec());
return;
}
maxLaserScans = scanCloudMaxPoints_;
if(containNormals)
{
pcl::PointCloud<pcl::PointNormal>::Ptr pclScan(new pcl::PointCloud<pcl::PointNormal>);
pcl::fromROSMsg(*cloudMsg, *pclScan);
if(!pclScan->is_dense)
{
pclScan = util3d::removeNaNNormalsFromPointCloud(pclScan);
}
scan = util3d::laserScanFromPointCloud(*pclScan);
}
else
{
pcl::PointCloud<pcl::PointXYZ>::Ptr pclScan(new pcl::PointCloud<pcl::PointXYZ>);
pcl::fromROSMsg(*cloudMsg, *pclScan);
if(!pclScan->is_dense)
{
pclScan = util3d::removeNaNFromPointCloud(pclScan);
}
if(pclScan->size())
{
if(scanVoxelSize_ > 0.0f)
{
float pointsBeforeFiltering = (float)pclScan->size();
pclScan = util3d::voxelize(pclScan, scanVoxelSize_);
float ratio = float(pclScan->size()) / pointsBeforeFiltering;
maxLaserScans = int(float(maxLaserScans) * ratio);
}
if(scanNormalK_ > 0 || scanNormalRadius_>0.0f)
{
//compute normals
pcl::PointCloud<pcl::Normal>::Ptr normals = util3d::computeNormals(pclScan, scanNormalK_, scanNormalRadius_);
pcl::PointCloud<pcl::PointNormal>::Ptr pclScanNormal(new pcl::PointCloud<pcl::PointNormal>);
pcl::concatenateFields(*pclScan, *normals, *pclScanNormal);
scan = util3d::laserScanFromPointCloud(*pclScanNormal);
}
else
{
scan = util3d::laserScanFromPointCloud(*pclScan);
}
}
}
}
rtabmap::SensorData data(
LaserScan(scan,
scanMsg.get() != 0 || cloudMsg.get() != 0?maxLaserScans:0,
scanMsg.get() != 0?scanMsg->range_max:0,
localScanTransform),
ptrImage->image,
ptrDepth->image,
rtabmapModel,
0,
rtabmap_conversions::timestampFromROS(stamp));
std_msgs::Header header;
header.stamp = stamp;
header.frame_id = image->header.frame_id;
this->processData(data, header);
}
}
}
protected:
virtual void flushCallbacks()
{
// flush callbacks
if(approxScanSync_)
{
delete approxScanSync_;
approxScanSync_ = new message_filters::Synchronizer<MyApproxScanSyncPolicy>(MyApproxScanSyncPolicy(queueSize_), image_mono_sub_, image_depth_sub_, info_sub_, scan_sub_);
approxScanSync_->registerCallback(boost::bind(&RGBDICPOdometry::callbackScan, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
if(exactScanSync_)
{
delete exactScanSync_;
exactScanSync_ = new message_filters::Synchronizer<MyExactScanSyncPolicy>(MyExactScanSyncPolicy(queueSize_), image_mono_sub_, image_depth_sub_, info_sub_, scan_sub_);
exactScanSync_->registerCallback(boost::bind(&RGBDICPOdometry::callbackScan, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
if(approxCloudSync_)
{
delete approxCloudSync_;
approxCloudSync_ = new message_filters::Synchronizer<MyApproxCloudSyncPolicy>(MyApproxCloudSyncPolicy(queueSize_), image_mono_sub_, image_depth_sub_, info_sub_, cloud_sub_);
approxCloudSync_->registerCallback(boost::bind(&RGBDICPOdometry::callbackCloud, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
if(exactCloudSync_)
{
delete exactCloudSync_;
exactCloudSync_ = new message_filters::Synchronizer<MyExactCloudSyncPolicy>(MyExactCloudSyncPolicy(queueSize_), image_mono_sub_, image_depth_sub_, info_sub_, cloud_sub_);
exactCloudSync_->registerCallback(boost::bind(&RGBDICPOdometry::callbackCloud, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
}
private:
image_transport::SubscriberFilter image_mono_sub_;
image_transport::SubscriberFilter image_depth_sub_;
message_filters::Subscriber<sensor_msgs::CameraInfo> info_sub_;
message_filters::Subscriber<sensor_msgs::LaserScan> scan_sub_;
message_filters::Subscriber<sensor_msgs::PointCloud2> cloud_sub_;
typedef message_filters::sync_policies::ApproximateTime<sensor_msgs::Image, sensor_msgs::Image, sensor_msgs::CameraInfo, sensor_msgs::LaserScan> MyApproxScanSyncPolicy;
message_filters::Synchronizer<MyApproxScanSyncPolicy> * approxScanSync_;
typedef message_filters::sync_policies::ApproximateTime<sensor_msgs::Image, sensor_msgs::Image, sensor_msgs::CameraInfo, sensor_msgs::LaserScan> MyExactScanSyncPolicy;
message_filters::Synchronizer<MyExactScanSyncPolicy> * exactScanSync_;
typedef message_filters::sync_policies::ApproximateTime<sensor_msgs::Image, sensor_msgs::Image, sensor_msgs::CameraInfo, sensor_msgs::PointCloud2> MyApproxCloudSyncPolicy;
message_filters::Synchronizer<MyApproxCloudSyncPolicy> * approxCloudSync_;
typedef message_filters::sync_policies::ApproximateTime<sensor_msgs::Image, sensor_msgs::Image, sensor_msgs::CameraInfo, sensor_msgs::PointCloud2> MyExactCloudSyncPolicy;
message_filters::Synchronizer<MyExactCloudSyncPolicy> * exactCloudSync_;
int queueSize_;
bool keepColor_;
int scanCloudMaxPoints_;
double scanVoxelSize_;
int scanNormalK_;
double scanNormalRadius_;
};
PLUGINLIB_EXPORT_CLASS(rtabmap_odom::RGBDICPOdometry, nodelet::Nodelet);
}
@@ -0,0 +1,847 @@
/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "rtabmap_odom/OdometryROS.h"
#include "pluginlib/class_list_macros.hpp"
#include "nodelet/nodelet.h"
#include <message_filters/subscriber.h>
#include <message_filters/time_synchronizer.h>
#include <message_filters/sync_policies/approximate_time.h>
#include <image_transport/image_transport.h>
#include <image_transport/subscriber_filter.h>
#include <sensor_msgs/Image.h>
#include <sensor_msgs/image_encodings.h>
#include <image_geometry/stereo_camera_model.h>
#include <cv_bridge/cv_bridge.h>
#include "rtabmap_conversions/MsgConversion.h"
#include <rtabmap_msgs/RGBDImages.h>
#include <rtabmap/utilite/ULogger.h>
#include <rtabmap/utilite/UTimer.h>
#include <rtabmap/utilite/UStl.h>
#include <rtabmap/utilite/UConversion.h>
#include <rtabmap/core/Odometry.h>
using namespace rtabmap;
namespace rtabmap_odom
{
class StereoOdometry : public OdometryROS
{
public:
StereoOdometry() :
OdometryROS(true, true, false),
approxSync_(0),
exactSync_(0),
approxSync2_(0),
exactSync2_(0),
approxSync3_(0),
exactSync3_(0),
approxSync4_(0),
exactSync4_(0),
queueSize_(5),
keepColor_(false)
{
}
virtual ~StereoOdometry()
{
if(approxSync_)
{
delete approxSync_;
}
if(exactSync_)
{
delete exactSync_;
}
}
private:
virtual void onOdomInit()
{
ros::NodeHandle & nh = getNodeHandle();
ros::NodeHandle & pnh = getPrivateNodeHandle();
bool approxSync = false;
bool subscribeRGBD = false;
double approxSyncMaxInterval = 0.0;
int rgbdCameras = 1;
pnh.param("approx_sync", approxSync, approxSync);
pnh.param("approx_sync_max_interval", approxSyncMaxInterval, approxSyncMaxInterval);
pnh.param("queue_size", queueSize_, queueSize_);
pnh.param("subscribe_rgbd", subscribeRGBD, subscribeRGBD);
pnh.param("rgbd_cameras", rgbdCameras, rgbdCameras);
pnh.param("keep_color", keepColor_, keepColor_);
NODELET_INFO("StereoOdometry: approx_sync = %s", approxSync?"true":"false");
if(approxSync)
NODELET_INFO("StereoOdometry: approx_sync_max_interval = %f", approxSyncMaxInterval);
NODELET_INFO("StereoOdometry: queue_size = %d", queueSize_);
NODELET_INFO("StereoOdometry: subscribe_rgbd = %s", subscribeRGBD?"true":"false");
NODELET_INFO("StereoOdometry: keep_color = %s", keepColor_?"true":"false");
std::string subscribedTopicsMsg;
if(subscribeRGBD)
{
if(rgbdCameras >= 2)
{
rgbd_image1_sub_.subscribe(nh, "rgbd_image0", 1);
rgbd_image2_sub_.subscribe(nh, "rgbd_image1", 1);
if(rgbdCameras >= 3)
{
rgbd_image3_sub_.subscribe(nh, "rgbd_image2", 1);
}
if(rgbdCameras >= 4)
{
rgbd_image4_sub_.subscribe(nh, "rgbd_image3", 1);
}
if(rgbdCameras == 2)
{
if(approxSync)
{
approxSync2_ = new message_filters::Synchronizer<MyApproxSync2Policy>(
MyApproxSync2Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_);
if(approxSyncMaxInterval > 0.0)
approxSync2_->setMaxIntervalDuration(ros::Duration(approxSyncMaxInterval));
approxSync2_->registerCallback(boost::bind(&StereoOdometry::callbackRGBD2, this, boost::placeholders::_1, boost::placeholders::_2));
}
else
{
exactSync2_ = new message_filters::Synchronizer<MyExactSync2Policy>(
MyExactSync2Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_);
exactSync2_->registerCallback(boost::bind(&StereoOdometry::callbackRGBD2, this, boost::placeholders::_1, boost::placeholders::_2));
}
subscribedTopicsMsg = uFormat("\n%s subscribed to (%s sync%s):\n %s \\\n %s",
getName().c_str(),
approxSync?"approx":"exact",
approxSync&&approxSyncMaxInterval!=0.0?uFormat(", max interval=%fs", approxSyncMaxInterval).c_str():"",
rgbd_image1_sub_.getTopic().c_str(),
rgbd_image2_sub_.getTopic().c_str());
}
else if(rgbdCameras == 3)
{
if(approxSync)
{
approxSync3_ = new message_filters::Synchronizer<MyApproxSync3Policy>(
MyApproxSync3Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_);
if(approxSyncMaxInterval > 0.0)
approxSync3_->setMaxIntervalDuration(ros::Duration(approxSyncMaxInterval));
approxSync3_->registerCallback(boost::bind(&StereoOdometry::callbackRGBD3, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3));
}
else
{
exactSync3_ = new message_filters::Synchronizer<MyExactSync3Policy>(
MyExactSync3Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_);
exactSync3_->registerCallback(boost::bind(&StereoOdometry::callbackRGBD3, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3));
}
subscribedTopicsMsg = uFormat("\n%s subscribed to (%s sync%s):\n %s \\\n %s \\\n %s",
getName().c_str(),
approxSync?"approx":"exact",
approxSync&&approxSyncMaxInterval!=0.0?uFormat(", max interval=%fs", approxSyncMaxInterval).c_str():"",
rgbd_image1_sub_.getTopic().c_str(),
rgbd_image2_sub_.getTopic().c_str(),
rgbd_image3_sub_.getTopic().c_str());
}
else if(rgbdCameras == 4)
{
if(approxSync)
{
approxSync4_ = new message_filters::Synchronizer<MyApproxSync4Policy>(
MyApproxSync4Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_,
rgbd_image4_sub_);
if(approxSyncMaxInterval > 0.0)
approxSync4_->setMaxIntervalDuration(ros::Duration(approxSyncMaxInterval));
approxSync4_->registerCallback(boost::bind(&StereoOdometry::callbackRGBD4, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
else
{
exactSync4_ = new message_filters::Synchronizer<MyExactSync4Policy>(
MyExactSync4Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_,
rgbd_image4_sub_);
exactSync4_->registerCallback(boost::bind(&StereoOdometry::callbackRGBD4, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
subscribedTopicsMsg = uFormat("\n%s subscribed to (%s sync%s):\n %s \\\n %s \\\n %s \\\n %s",
getName().c_str(),
approxSync?"approx":"exact",
approxSync&&approxSyncMaxInterval!=0.0?uFormat(", max interval=%fs", approxSyncMaxInterval).c_str():"",
rgbd_image1_sub_.getTopic().c_str(),
rgbd_image2_sub_.getTopic().c_str(),
rgbd_image3_sub_.getTopic().c_str(),
rgbd_image4_sub_.getTopic().c_str());
}
else
{
ROS_FATAL("%s doesn't support more than 4 cameras (rgbd_cameras=%d) with internal synchronization interface, set rgbd_cameras=0 and use rgbd_images input topic instead for more cameras.", getName().c_str(), rgbdCameras);
}
}
else if(rgbdCameras == 0)
{
rgbdxSub_ = nh.subscribe("rgbd_images", 1, &StereoOdometry::callbackRGBDX, this);
subscribedTopicsMsg =
uFormat("\n%s subscribed to:\n %s",
getName().c_str(),
rgbdxSub_.getTopic().c_str());
}
else
{
rgbdSub_ = nh.subscribe("rgbd_image", 1, &StereoOdometry::callbackRGBD, this);
subscribedTopicsMsg =
uFormat("\n%s subscribed to:\n %s",
getName().c_str(),
rgbdSub_.getTopic().c_str());
}
}
else
{
ros::NodeHandle left_nh(nh, "left");
ros::NodeHandle right_nh(nh, "right");
ros::NodeHandle left_pnh(pnh, "left");
ros::NodeHandle right_pnh(pnh, "right");
image_transport::ImageTransport left_it(left_nh);
image_transport::ImageTransport right_it(right_nh);
image_transport::TransportHints hintsLeft("raw", ros::TransportHints(), left_pnh);
image_transport::TransportHints hintsRight("raw", ros::TransportHints(), right_pnh);
imageRectLeft_.subscribe(left_it, left_nh.resolveName("image_rect"), 1, hintsLeft);
imageRectRight_.subscribe(right_it, right_nh.resolveName("image_rect"), 1, hintsRight);
cameraInfoLeft_.subscribe(left_nh, "camera_info", 1);
cameraInfoRight_.subscribe(right_nh, "camera_info", 1);
if(approxSync)
{
approxSync_ = new message_filters::Synchronizer<MyApproxSyncPolicy>(MyApproxSyncPolicy(queueSize_), imageRectLeft_, imageRectRight_, cameraInfoLeft_, cameraInfoRight_);
if(approxSyncMaxInterval>0.0)
approxSync_->setMaxIntervalDuration(ros::Duration(approxSyncMaxInterval));
approxSync_->registerCallback(boost::bind(&StereoOdometry::callback, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
else
{
exactSync_ = new message_filters::Synchronizer<MyExactSyncPolicy>(MyExactSyncPolicy(queueSize_), imageRectLeft_, imageRectRight_, cameraInfoLeft_, cameraInfoRight_);
exactSync_->registerCallback(boost::bind(&StereoOdometry::callback, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
subscribedTopicsMsg = uFormat("\n%s subscribed to (%s sync%s):\n %s \\\n %s \\\n %s \\\n %s",
getName().c_str(),
approxSync?"approx":"exact",
approxSync&&approxSyncMaxInterval!=0.0?uFormat(", max interval=%fs", approxSyncMaxInterval).c_str():"",
imageRectLeft_.getTopic().c_str(),
imageRectRight_.getTopic().c_str(),
cameraInfoLeft_.getTopic().c_str(),
cameraInfoRight_.getTopic().c_str());
}
this->startWarningThread(subscribedTopicsMsg, approxSync);
}
virtual void updateParameters(ParametersMap & parameters)
{
//make sure we are using Reg/Strategy=0
ParametersMap::iterator iter = parameters.find(Parameters::kRegStrategy());
if(iter != parameters.end() && iter->second.compare("0") != 0)
{
ROS_WARN("Stereo odometry works only with \"Reg/Strategy\"=0. Ignoring value %s.", iter->second.c_str());
}
uInsert(parameters, ParametersPair(Parameters::kRegStrategy(), "0"));
}
void commonCallback(
const std::vector<cv_bridge::CvImageConstPtr> & leftImages,
const std::vector<cv_bridge::CvImageConstPtr> & rightImages,
const std::vector<sensor_msgs::CameraInfo>& leftCameraInfos,
const std::vector<sensor_msgs::CameraInfo>& rightCameraInfos)
{
UASSERT(leftImages.size() > 0 &&
leftImages.size() == rightImages.size() &&
leftImages.size() == leftCameraInfos.size() &&
rightImages.size() == rightCameraInfos.size());
ros::Time higherStamp;
int leftWidth = leftImages[0]->image.cols;
int leftHeight = leftImages[0]->image.rows;
int rightWidth = rightImages[0]->image.cols;
int rightHeight = rightImages[0]->image.rows;
UASSERT_MSG(
leftWidth == rightWidth && leftHeight == rightHeight,
uFormat("left=%dx%d right=%dx%d", leftWidth, leftHeight, rightWidth, rightHeight).c_str());
int cameraCount = leftImages.size();
cv::Mat left;
cv::Mat right;
std::vector<rtabmap::StereoCameraModel> cameraModels;
for(unsigned int i=0; i<leftImages.size(); ++i)
{
if(!(leftImages[i]->encoding.compare(sensor_msgs::image_encodings::TYPE_8UC1) ==0 ||
leftImages[i]->encoding.compare(sensor_msgs::image_encodings::MONO8) ==0 ||
leftImages[i]->encoding.compare(sensor_msgs::image_encodings::MONO16) ==0 ||
leftImages[i]->encoding.compare(sensor_msgs::image_encodings::BGR8) == 0 ||
leftImages[i]->encoding.compare(sensor_msgs::image_encodings::RGB8) == 0 ||
leftImages[i]->encoding.compare(sensor_msgs::image_encodings::BGRA8) == 0 ||
leftImages[i]->encoding.compare(sensor_msgs::image_encodings::RGBA8) == 0) ||
!(rightImages[i]->encoding.compare(sensor_msgs::image_encodings::TYPE_8UC1) ==0 ||
rightImages[i]->encoding.compare(sensor_msgs::image_encodings::MONO8) ==0 ||
rightImages[i]->encoding.compare(sensor_msgs::image_encodings::MONO16) ==0 ||
rightImages[i]->encoding.compare(sensor_msgs::image_encodings::BGR8) == 0 ||
rightImages[i]->encoding.compare(sensor_msgs::image_encodings::RGB8) == 0 ||
rightImages[i]->encoding.compare(sensor_msgs::image_encodings::BGRA8) == 0 ||
rightImages[i]->encoding.compare(sensor_msgs::image_encodings::RGBA8) == 0))
{
NODELET_ERROR("Input type must be image=mono8,mono16,rgb8,bgr8,rgba8,bgra8 (mono8 recommended), received types are %s (left) and %s (right)",
leftImages[i]->encoding.c_str(), rightImages[i]->encoding.c_str());
return;
}
ros::Time stamp = leftImages[i]->header.stamp>rightImages[i]->header.stamp?leftImages[i]->header.stamp:rightImages[i]->header.stamp;
if(i == 0)
{
higherStamp = stamp;
}
else if(stamp > higherStamp)
{
higherStamp = stamp;
}
Transform localTransform = rtabmap_conversions::getTransform(this->frameId(), leftImages[i]->header.frame_id, stamp, this->tfListener(), this->waitForTransformDuration());
if(localTransform.isNull())
{
return;
}
if(i>0)
{
double stampDiff = fabs(leftImages[i]->header.stamp.toSec() - leftImages[i-1]->header.stamp.toSec());
if(stampDiff > 1.0/60.0)
{
static bool warningShown = false;
if(!warningShown)
{
NODELET_WARN("The time difference between cameras %d and %d is "
"high (diff=%fs, cam%d=%fs, cam%d=%fs). You may want "
"to set approx_sync_max_interval to reject bad synchronizations or use "
"approx_sync=false if streams have all the exact same timestamp. This "
"message is only printed once.",
i-1, i,
stampDiff,
i-1, leftImages[i-1]->header.stamp.toSec(),
i, leftImages[i]->header.stamp.toSec());
warningShown = true;
}
}
}
int quality = -1;
if(!leftImages[i]->image.empty() && !rightImages[i]->image.empty())
{
bool alreadyRectified = true;
Parameters::parse(parameters(), Parameters::kRtabmapImagesAlreadyRectified(), alreadyRectified);
rtabmap::Transform stereoTransform;
if(!alreadyRectified)
{
if(rightCameraInfos[i].header.frame_id.empty() || leftCameraInfos[i].header.frame_id.empty())
{
if(rightCameraInfos[i].P[3] == 0.0 && leftCameraInfos[i].P[3] == 0)
{
NODELET_ERROR("Parameter %s is false but the frame_id in one of the camera_info "
"topic is empty, so TF between the cameras cannot be computed!",
Parameters::kRtabmapImagesAlreadyRectified().c_str());
return;
}
else
{
static bool warned = false;
if(!warned)
{
NODELET_WARN("Parameter %s is false but the frame_id in one of the "
"camera_info topic is empty, so TF between the cameras cannot be "
"computed! However, the baseline can be computed from the calibration, "
"we will use this one instead of TF. This message is only printed once...",
Parameters::kRtabmapImagesAlreadyRectified().c_str());
warned = true;
}
}
}
else
{
stereoTransform = rtabmap_conversions::getTransform(
rightCameraInfos[i].header.frame_id,
leftCameraInfos[i].header.frame_id,
leftCameraInfos[i].header.stamp,
this->tfListener(),
this->waitForTransformDuration());
if(stereoTransform.isNull())
{
NODELET_ERROR("Parameter %s is false but we cannot get TF between the two cameras! (between frames %s and %s)",
Parameters::kRtabmapImagesAlreadyRectified().c_str(),
rightCameraInfos[i].header.frame_id.c_str(),
leftCameraInfos[i].header.frame_id.c_str());
return;
}
else if(stereoTransform.isIdentity())
{
NODELET_ERROR("Parameter %s is false but we cannot get a valid TF between the two cameras! "
"Identity transform returned between left and right cameras. Verify that if TF between "
"the cameras is valid: \"rosrun tf tf_echo %s %s\".",
Parameters::kRtabmapImagesAlreadyRectified().c_str(),
rightCameraInfos[i].header.frame_id.c_str(),
leftCameraInfos[i].header.frame_id.c_str());
return;
}
}
}
rtabmap::StereoCameraModel stereoModel = rtabmap_conversions::stereoCameraModelFromROS(leftCameraInfos[i], rightCameraInfos[i], localTransform, stereoTransform);
if( stereoModel.baseline() == 0 &&
alreadyRectified &&
!rightCameraInfos[i].header.frame_id.empty() &&
!leftCameraInfos[i].header.frame_id.empty())
{
stereoTransform = rtabmap_conversions::getTransform(
leftCameraInfos[i].header.frame_id,
rightCameraInfos[i].header.frame_id,
leftCameraInfos[i].header.stamp,
this->tfListener(),
this->waitForTransformDuration());
if(!stereoTransform.isNull() && stereoTransform.x()>0)
{
static bool warned = false;
if(!warned)
{
ROS_WARN("Right camera info doesn't have Tx set but we are assuming that stereo images are already rectified (see %s parameter). While not "
"recommended, we used TF to get the baseline (%s->%s = %fm) for convenience (e.g., D400 ir stereo issue). It is preferred to feed "
"a valid right camera info if stereo images are already rectified. This message is only printed once...",
rtabmap::Parameters::kRtabmapImagesAlreadyRectified().c_str(),
rightCameraInfos[i].header.frame_id.c_str(), leftCameraInfos[i].header.frame_id.c_str(), stereoTransform.x());
warned = true;
}
stereoModel = rtabmap::StereoCameraModel(
stereoModel.left().fx(),
stereoModel.left().fy(),
stereoModel.left().cx(),
stereoModel.left().cy(),
stereoTransform.x(),
stereoModel.localTransform(),
stereoModel.left().imageSize());
}
}
if(alreadyRectified && stereoModel.baseline() <= 0)
{
NODELET_ERROR("The stereo baseline (%f) should be positive (baseline=-Tx/fx). We assume a horizontal left/right stereo "
"setup where the Tx (or P(0,3)) is negative in the right camera info msg.", stereoModel.baseline());
return;
}
if(stereoModel.baseline() > 10.0)
{
static bool shown = false;
if(!shown)
{
NODELET_WARN("Detected baseline (%f m) is quite large! Is your "
"right camera_info P(0,3) correctly set? Note that "
"baseline=-P(0,3)/P(0,0). This warning is printed only once.",
stereoModel.baseline());
shown = true;
}
}
cv_bridge::CvImageConstPtr ptrLeft = leftImages[i];
if(leftImages[i]->encoding.compare(sensor_msgs::image_encodings::TYPE_8UC1) !=0 &&
leftImages[i]->encoding.compare(sensor_msgs::image_encodings::MONO8) != 0)
{
if(keepColor_ && leftImages[i]->encoding.compare(sensor_msgs::image_encodings::MONO16) != 0)
{
ptrLeft = cv_bridge::cvtColor(leftImages[i], "bgr8");
}
else
{
ptrLeft = cv_bridge::cvtColor(leftImages[i], "mono8");
}
}
cv_bridge::CvImageConstPtr ptrRight = rightImages[i];
if(rightImages[i]->encoding.compare(sensor_msgs::image_encodings::TYPE_8UC1) !=0 &&
rightImages[i]->encoding.compare(sensor_msgs::image_encodings::MONO8) != 0)
{
ptrRight = cv_bridge::cvtColor(rightImages[i], "mono8");
}
// initialize
if(left.empty())
{
left = cv::Mat(leftHeight, leftWidth*cameraCount, ptrLeft->image.type());
}
if(right.empty())
{
right = cv::Mat(rightHeight, rightWidth*cameraCount, ptrRight->image.type());
}
if(ptrLeft->image.type() == left.type())
{
ptrLeft->image.copyTo(cv::Mat(left, cv::Rect(i*leftWidth, 0, leftWidth, leftHeight)));
}
else
{
NODELET_ERROR("Some left images are not the same type! %d vs %d", ptrLeft->image.type(), left.type());
return;
}
if(ptrRight->image.type() == right.type())
{
ptrRight->image.copyTo(cv::Mat(right, cv::Rect(i*rightWidth, 0, rightWidth, rightHeight)));
}
else
{
NODELET_ERROR("Some right images are not the same type! %d vs %d", ptrRight->image.type(), right.type());
return;
}
cameraModels.push_back(stereoModel);
}
else
{
NODELET_ERROR("Odom: input images empty?!?");
return;
}
}
//
rtabmap::SensorData data(
left,
right,
cameraModels,
0,
rtabmap_conversions::timestampFromROS(higherStamp));
std_msgs::Header header;
header.stamp = higherStamp;
header.frame_id = leftImages.size()==1?leftImages[0]->header.frame_id:"";
this->processData(data, header);
}
void callback(
const sensor_msgs::ImageConstPtr& imageLeft,
const sensor_msgs::ImageConstPtr& imageRight,
const sensor_msgs::CameraInfoConstPtr& cameraInfoLeft,
const sensor_msgs::CameraInfoConstPtr& cameraInfoRight)
{
callbackCalled();
if(!this->isPaused())
{
std::vector<cv_bridge::CvImageConstPtr> leftMsgs(1);
std::vector<cv_bridge::CvImageConstPtr> rightMsgs(1);
std::vector<sensor_msgs::CameraInfo> leftInfoMsgs;
std::vector<sensor_msgs::CameraInfo> rightInfoMsgs;
leftMsgs[0] = cv_bridge::toCvShare(imageLeft);
rightMsgs[0] = cv_bridge::toCvShare(imageRight);
leftInfoMsgs.push_back(*cameraInfoLeft);
rightInfoMsgs.push_back(*cameraInfoRight);
double stampDiff = fabs(imageLeft->header.stamp.toSec() - imageRight->header.stamp.toSec());
if(stampDiff > 0.010)
{
NODELET_WARN("The time difference between left and right frames is "
"high (diff=%fs, left=%fs, right=%fs). If your left and right cameras are hardware "
"synchronized, use approx_sync:=false. Otherwise, you may want "
"to set approx_sync_max_interval lower than 0.01s to reject spurious bad synchronizations.",
stampDiff,
imageLeft->header.stamp.toSec(),
imageRight->header.stamp.toSec());
}
this->commonCallback(leftMsgs, rightMsgs, leftInfoMsgs, rightInfoMsgs);
}
}
void callbackRGBD(
const rtabmap_msgs::RGBDImageConstPtr& image)
{
callbackCalled();
if(!this->isPaused())
{
std::vector<cv_bridge::CvImageConstPtr> leftMsgs(1);
std::vector<cv_bridge::CvImageConstPtr> rightMsgs(1);
std::vector<sensor_msgs::CameraInfo> leftInfoMsgs;
std::vector<sensor_msgs::CameraInfo> rightInfoMsgs;
rtabmap_conversions::toCvShare(image, leftMsgs[0], rightMsgs[0]);
leftInfoMsgs.push_back(image->rgb_camera_info);
rightInfoMsgs.push_back(image->depth_camera_info);
this->commonCallback(leftMsgs, rightMsgs, leftInfoMsgs, rightInfoMsgs);
}
}
void callbackRGBDX(
const rtabmap_msgs::RGBDImagesConstPtr& images)
{
callbackCalled();
if(!this->isPaused())
{
if(images->rgbd_images.empty())
{
NODELET_ERROR("Input topic \"%s\" doesn't contain any image(s)!", rgbdxSub_.getTopic().c_str());
return;
}
std::vector<cv_bridge::CvImageConstPtr> leftMsgs(images->rgbd_images.size());
std::vector<cv_bridge::CvImageConstPtr> rightMsgs(images->rgbd_images.size());
std::vector<sensor_msgs::CameraInfo> leftInfoMsgs;
std::vector<sensor_msgs::CameraInfo> rightInfoMsgs;
for(size_t i=0; i<images->rgbd_images.size(); ++i)
{
rtabmap_conversions::toCvShare(images->rgbd_images[i], images, leftMsgs[i], rightMsgs[i]);
leftInfoMsgs.push_back(images->rgbd_images[i].rgb_camera_info);
rightInfoMsgs.push_back(images->rgbd_images[i].depth_camera_info);
}
this->commonCallback(leftMsgs, rightMsgs, leftInfoMsgs, rightInfoMsgs);
}
}
void callbackRGBD2(
const rtabmap_msgs::RGBDImageConstPtr& image,
const rtabmap_msgs::RGBDImageConstPtr& image2)
{
callbackCalled();
if(!this->isPaused())
{
std::vector<cv_bridge::CvImageConstPtr> leftMsgs(2);
std::vector<cv_bridge::CvImageConstPtr> rightMsgs(2);
std::vector<sensor_msgs::CameraInfo> leftInfoMsgs;
std::vector<sensor_msgs::CameraInfo> rightInfoMsgs;
rtabmap_conversions::toCvShare(image, leftMsgs[0], rightMsgs[0]);
rtabmap_conversions::toCvShare(image2, leftMsgs[1], rightMsgs[1]);
leftInfoMsgs.push_back(image->rgb_camera_info);
leftInfoMsgs.push_back(image2->rgb_camera_info);
rightInfoMsgs.push_back(image->depth_camera_info);
rightInfoMsgs.push_back(image2->depth_camera_info);
this->commonCallback(leftMsgs, rightMsgs, leftInfoMsgs, rightInfoMsgs);
}
}
void callbackRGBD3(
const rtabmap_msgs::RGBDImageConstPtr& image,
const rtabmap_msgs::RGBDImageConstPtr& image2,
const rtabmap_msgs::RGBDImageConstPtr& image3)
{
callbackCalled();
if(!this->isPaused())
{
std::vector<cv_bridge::CvImageConstPtr> leftMsgs(3);
std::vector<cv_bridge::CvImageConstPtr> rightMsgs(3);
std::vector<sensor_msgs::CameraInfo> leftInfoMsgs;
std::vector<sensor_msgs::CameraInfo> rightInfoMsgs;
rtabmap_conversions::toCvShare(image, leftMsgs[0], rightMsgs[0]);
rtabmap_conversions::toCvShare(image2, leftMsgs[1], rightMsgs[1]);
rtabmap_conversions::toCvShare(image3, leftMsgs[2], rightMsgs[2]);
leftInfoMsgs.push_back(image->rgb_camera_info);
leftInfoMsgs.push_back(image2->rgb_camera_info);
leftInfoMsgs.push_back(image3->rgb_camera_info);
rightInfoMsgs.push_back(image->depth_camera_info);
rightInfoMsgs.push_back(image2->depth_camera_info);
rightInfoMsgs.push_back(image3->depth_camera_info);
this->commonCallback(leftMsgs, rightMsgs, leftInfoMsgs, rightInfoMsgs);
}
}
void callbackRGBD4(
const rtabmap_msgs::RGBDImageConstPtr& image,
const rtabmap_msgs::RGBDImageConstPtr& image2,
const rtabmap_msgs::RGBDImageConstPtr& image3,
const rtabmap_msgs::RGBDImageConstPtr& image4)
{
callbackCalled();
if(!this->isPaused())
{
std::vector<cv_bridge::CvImageConstPtr> leftMsgs(4);
std::vector<cv_bridge::CvImageConstPtr> rightMsgs(4);
std::vector<sensor_msgs::CameraInfo> leftInfoMsgs;
std::vector<sensor_msgs::CameraInfo> rightInfoMsgs;
rtabmap_conversions::toCvShare(image, leftMsgs[0], rightMsgs[0]);
rtabmap_conversions::toCvShare(image2, leftMsgs[1], rightMsgs[1]);
rtabmap_conversions::toCvShare(image3, leftMsgs[2], rightMsgs[2]);
rtabmap_conversions::toCvShare(image4, leftMsgs[3], rightMsgs[3]);
leftInfoMsgs.push_back(image->rgb_camera_info);
leftInfoMsgs.push_back(image2->rgb_camera_info);
leftInfoMsgs.push_back(image3->rgb_camera_info);
leftInfoMsgs.push_back(image4->rgb_camera_info);
rightInfoMsgs.push_back(image->depth_camera_info);
rightInfoMsgs.push_back(image2->depth_camera_info);
rightInfoMsgs.push_back(image3->depth_camera_info);
rightInfoMsgs.push_back(image4->depth_camera_info);
this->commonCallback(leftMsgs, rightMsgs, leftInfoMsgs, rightInfoMsgs);
}
}
protected:
virtual void flushCallbacks()
{
//flush callbacks
if(approxSync_)
{
delete approxSync_;
approxSync_ = new message_filters::Synchronizer<MyApproxSyncPolicy>(MyApproxSyncPolicy(queueSize_), imageRectLeft_, imageRectRight_, cameraInfoLeft_, cameraInfoRight_);
approxSync_->registerCallback(boost::bind(&StereoOdometry::callback, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
if(exactSync_)
{
delete exactSync_;
exactSync_ = new message_filters::Synchronizer<MyExactSyncPolicy>(MyExactSyncPolicy(queueSize_), imageRectLeft_, imageRectRight_, cameraInfoLeft_, cameraInfoRight_);
exactSync_->registerCallback(boost::bind(&StereoOdometry::callback, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
if(approxSync2_)
{
delete approxSync2_;
approxSync2_ = new message_filters::Synchronizer<MyApproxSync2Policy>(
MyApproxSync2Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_);
approxSync2_->registerCallback(boost::bind(&StereoOdometry::callbackRGBD2, this, boost::placeholders::_1, boost::placeholders::_2));
}
if(exactSync2_)
{
delete exactSync2_;
exactSync2_ = new message_filters::Synchronizer<MyExactSync2Policy>(
MyExactSync2Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_);
exactSync2_->registerCallback(boost::bind(&StereoOdometry::callbackRGBD2, this, boost::placeholders::_1, boost::placeholders::_2));
}
if(approxSync3_)
{
delete approxSync3_;
approxSync3_ = new message_filters::Synchronizer<MyApproxSync3Policy>(
MyApproxSync3Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_);
approxSync3_->registerCallback(boost::bind(&StereoOdometry::callbackRGBD3, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3));
}
if(exactSync3_)
{
delete exactSync3_;
exactSync3_ = new message_filters::Synchronizer<MyExactSync3Policy>(
MyExactSync3Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_);
exactSync3_->registerCallback(boost::bind(&StereoOdometry::callbackRGBD3, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3));
}
if(approxSync4_)
{
delete approxSync4_;
approxSync4_ = new message_filters::Synchronizer<MyApproxSync4Policy>(
MyApproxSync4Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_,
rgbd_image4_sub_);
approxSync4_->registerCallback(boost::bind(&StereoOdometry::callbackRGBD4, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
if(exactSync4_)
{
delete exactSync4_;
exactSync4_ = new message_filters::Synchronizer<MyExactSync4Policy>(
MyExactSync4Policy(queueSize_),
rgbd_image1_sub_,
rgbd_image2_sub_,
rgbd_image3_sub_,
rgbd_image4_sub_);
exactSync4_->registerCallback(boost::bind(&StereoOdometry::callbackRGBD4, this, boost::placeholders::_1, boost::placeholders::_2, boost::placeholders::_3, boost::placeholders::_4));
}
}
private:
image_transport::SubscriberFilter imageRectLeft_;
image_transport::SubscriberFilter imageRectRight_;
message_filters::Subscriber<sensor_msgs::CameraInfo> cameraInfoLeft_;
message_filters::Subscriber<sensor_msgs::CameraInfo> cameraInfoRight_;
ros::Subscriber rgbdSub_;
ros::Subscriber rgbdxSub_;
message_filters::Subscriber<rtabmap_msgs::RGBDImage> rgbd_image1_sub_;
message_filters::Subscriber<rtabmap_msgs::RGBDImage> rgbd_image2_sub_;
message_filters::Subscriber<rtabmap_msgs::RGBDImage> rgbd_image3_sub_;
message_filters::Subscriber<rtabmap_msgs::RGBDImage> rgbd_image4_sub_;
message_filters::Subscriber<rtabmap_msgs::RGBDImage> rgbd_image5_sub_;
typedef message_filters::sync_policies::ApproximateTime<sensor_msgs::Image, sensor_msgs::Image, sensor_msgs::CameraInfo, sensor_msgs::CameraInfo> MyApproxSyncPolicy;
message_filters::Synchronizer<MyApproxSyncPolicy> * approxSync_;
typedef message_filters::sync_policies::ExactTime<sensor_msgs::Image, sensor_msgs::Image, sensor_msgs::CameraInfo, sensor_msgs::CameraInfo> MyExactSyncPolicy;
message_filters::Synchronizer<MyExactSyncPolicy> * exactSync_;
typedef message_filters::sync_policies::ApproximateTime<rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage> MyApproxSync2Policy;
message_filters::Synchronizer<MyApproxSync2Policy> * approxSync2_;
typedef message_filters::sync_policies::ExactTime<rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage> MyExactSync2Policy;
message_filters::Synchronizer<MyExactSync2Policy> * exactSync2_;
typedef message_filters::sync_policies::ApproximateTime<rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage> MyApproxSync3Policy;
message_filters::Synchronizer<MyApproxSync3Policy> * approxSync3_;
typedef message_filters::sync_policies::ExactTime<rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage> MyExactSync3Policy;
message_filters::Synchronizer<MyExactSync3Policy> * exactSync3_;
typedef message_filters::sync_policies::ApproximateTime<rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage> MyApproxSync4Policy;
message_filters::Synchronizer<MyApproxSync4Policy> * approxSync4_;
typedef message_filters::sync_policies::ExactTime<rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage, rtabmap_msgs::RGBDImage> MyExactSync4Policy;
message_filters::Synchronizer<MyExactSync4Policy> * exactSync4_;
int queueSize_;
bool keepColor_;
};
PLUGINLIB_EXPORT_CLASS(rtabmap_odom::StereoOdometry, nodelet::Nodelet);
}