ros-pkg: added all remaining data contained in Signature into NodeData msg

map_optimizer doesn't need anymore to explicitly disable optimization in rtabmap node, thought it is still recommended to disable it to avoid double optimization...

git-svn-id: http://rtabmap.googlecode.com/svn/trunk/ros-pkg@1941 f169173b-cf89-36c8-b27e-44dbe73f0c83
This commit is contained in:
matlabbe
2014-10-30 14:48:31 +00:00
parent f122090620
commit 472596ac8e
6 changed files with 214 additions and 104 deletions
+3 -2
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@@ -5,7 +5,7 @@ project(rtabmap)
## if COMPONENTS list like find_package(catkin REQUIRED COMPONENTS xyz)
## is used, also find other catkin packages
find_package(catkin REQUIRED COMPONENTS
cv_bridge roscpp rospy sensor_msgs std_msgs std_srvs nav_msgs
cv_bridge roscpp rospy sensor_msgs std_msgs std_srvs nav_msgs geometry_msgs
image_transport tf tf_conversions laser_geometry pcl_conversions
pcl_ros nodelet dynamic_reconfigure rviz message_filters class_loader
genmsg stereo_msgs
@@ -59,6 +59,7 @@ generate_messages(
DEPENDENCIES
std_msgs
geometry_msgs
sensor_msgs
)
#add dynamic reconfigure api
@@ -76,7 +77,7 @@ generate_dynamic_reconfigure_options(cfg/Camera.cfg)
catkin_package(
INCLUDE_DIRS include
LIBRARIES rtabmap_ros
CATKIN_DEPENDS cv_bridge roscpp rospy sensor_msgs std_msgs std_srvs nav_msgs
CATKIN_DEPENDS cv_bridge roscpp rospy sensor_msgs std_msgs std_srvs nav_msgs geometry_msgs
image_transport tf tf_conversions laser_geometry pcl_conversions
pcl_ros nodelet dynamic_reconfigure rviz message_filters class_loader
stereo_msgs
+6
View File
@@ -1,5 +1,9 @@
int32 id
int32 mapId
# Pose from odometry not corrected
geometry_msgs/Pose pose
# compressed image in /camera_link frame
# use rtabmap::util3d::uncompressImage() from <rtabmap/core/util3d.h>
@@ -23,5 +27,7 @@ geometry_msgs/Transform localTransform
# std::multimap<int, cv::Keypoint> words
# std::multimap<int, pcl::PointXYZ> words3D
int32[] wordsKeys
rtabmap/KeyPoint[] wordsValues
sensor_msgs/PointCloud2 words3DValues
+2 -2
View File
@@ -20,6 +20,7 @@
<build_depend>std_srvs</build_depend>
<build_depend>nav_msgs</build_depend>
<build_depend>stereo_msgs</build_depend>
<build_depend>geometry_msgs</build_depend>
<build_depend>image_transport</build_depend>
<build_depend>tf</build_depend>
<build_depend>tf_conversions</build_depend>
@@ -31,7 +32,6 @@
<build_depend>rviz</build_depend>
<build_depend>message_filters</build_depend>
<build_depend>class_loader</build_depend>
<build_depend>stereo_msgs</build_depend>
<run_depend>cv_bridge</run_depend>
<run_depend>roscpp</run_depend>
@@ -41,6 +41,7 @@
<run_depend>std_srvs</run_depend>
<run_depend>nav_msgs</run_depend>
<run_depend>stereo_msgs</run_depend>
<run_depend>geometry_msgs</run_depend>
<run_depend>image_transport</run_depend>
<run_depend>tf</run_depend>
<run_depend>tf_conversions</run_depend>
@@ -52,7 +53,6 @@
<run_depend>rviz</run_depend>
<run_depend>message_filters</run_depend>
<run_depend>class_loader</run_depend>
<run_depend>stereo_msgs</run_depend>
<build_depend>libpcl-all-dev</build_depend>
+70 -2
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@@ -79,6 +79,7 @@ CoreWrapper::CoreWrapper(bool deleteDbOnStart) :
bool subscribeDepth = true;
bool subscribeStereo = false;
int queueSize = 10;
bool publishTf = true;
double tfDelay = 0.05; // 20 Hz
// ROS related parameters (private)
@@ -106,6 +107,7 @@ CoreWrapper::CoreWrapper(bool deleteDbOnStart) :
pnh.param("map_frame_id", mapFrameId_, mapFrameId_);
pnh.param("queue_size", queueSize, queueSize);
pnh.param("publish_tf", publishTf, publishTf);
pnh.param("tf_delay", tfDelay, tfDelay);
ROS_INFO("rtabmap: frame_id = %s", frameId_.c_str());
@@ -252,11 +254,11 @@ CoreWrapper::CoreWrapper(bool deleteDbOnStart) :
int toroIterations = 0;
Parameters::parse(parameters, Parameters::kRGBDToroIterations(), toroIterations);
if(toroIterations != 0)
if(publishTf && toroIterations != 0)
{
transformThread_ = new boost::thread(boost::bind(&CoreWrapper::publishLoop, this, tfDelay));
}
else
else if(publishTf)
{
UWARN("Graph optimization is disabled (%s=0), the tf between frame \"%s\" and odometry frame will not be published. You can safely ignore this warning if you are using map_optimizer node.",
Parameters::kRGBDToroIterations().c_str(), mapFrameId_.c_str());
@@ -1000,6 +1002,8 @@ bool CoreWrapper::getMapCallback(rtabmap::GetMap::Request& req, rtabmap::GetMap:
for(std::map<int, Signature>::iterator iter = signatures.begin(); iter!=signatures.end(); ++iter)
{
rep.data.nodes[i].id = iter->second.id();
rep.data.nodes[i].mapId = iter->second.mapId();
transformToPoseMsg(iter->second.getPose(), rep.data.nodes[i].pose);
compressedMatToBytes(iter->second.getImageCompressed(), rep.data.nodes[i].image.bytes);
compressedMatToBytes(iter->second.getDepthCompressed(), rep.data.nodes[i].depth.bytes);
compressedMatToBytes(iter->second.getDepth2DCompressed(), rep.data.nodes[i].depth2D.bytes);
@@ -1027,6 +1031,26 @@ bool CoreWrapper::getMapCallback(rtabmap::GetMap::Request& req, rtabmap::GetMap:
++j;
}
if(iter->second.getWords3().size() && iter->second.getWords3().size() == iter->second.getWords().size())
{
pcl::PointCloud<pcl::PointXYZ> cloud;
cloud.resize(iter->second.getWords3().size());
j = 0;
for(std::multimap<int, pcl::PointXYZ>::const_iterator jter=iter->second.getWords3().begin();
jter!=iter->second.getWords3().end();
++jter)
{
cloud[j++] = jter->second;
}
pcl::toROSMsg(cloud, rep.data.nodes[i].words3DValues);
}
else if(iter->second.getWords3().size())
{
ROS_ERROR("Words 2D and words 3D must have the same size (%d vs %d)!",
(int)iter->second.getWords().size(),
(int)iter->second.getWords3().size());
}
++i;
}
@@ -1107,6 +1131,8 @@ bool CoreWrapper::publishMapCallback(rtabmap::PublishMap::Request& req, rtabmap:
for(std::map<int, Signature>::iterator iter = signatures.begin(); iter!=signatures.end(); ++iter)
{
msg->nodes[i].id = iter->second.id();
msg->nodes[i].mapId = iter->second.mapId();
transformToPoseMsg(iter->second.getPose(), msg->nodes[i].pose);
compressedMatToBytes(iter->second.getImageCompressed(), msg->nodes[i].image.bytes);
compressedMatToBytes(iter->second.getDepthCompressed(), msg->nodes[i].depth.bytes);
compressedMatToBytes(iter->second.getDepth2DCompressed(), msg->nodes[i].depth2D.bytes);
@@ -1134,6 +1160,26 @@ bool CoreWrapper::publishMapCallback(rtabmap::PublishMap::Request& req, rtabmap:
++j;
}
if(iter->second.getWords3().size() && iter->second.getWords3().size() == iter->second.getWords().size())
{
pcl::PointCloud<pcl::PointXYZ> cloud;
cloud.resize(iter->second.getWords3().size());
j = 0;
for(std::multimap<int, pcl::PointXYZ>::const_iterator jter=iter->second.getWords3().begin();
jter!=iter->second.getWords3().end();
++jter)
{
cloud[j++] = jter->second;
}
pcl::toROSMsg(cloud, msg->nodes[i].words3DValues);
}
else if(iter->second.getWords3().size())
{
ROS_ERROR("Words 2D and words 3D must have the same size (%d vs %d)!",
(int)iter->second.getWords().size(),
(int)iter->second.getWords3().size());
}
++i;
}
@@ -1235,6 +1281,8 @@ void CoreWrapper::publishStats(const Statistics & stats)
// add data
msg->nodes.resize(1);
msg->nodes[0].id = stats.getSignature().id();
msg->nodes[0].mapId = stats.getSignature().mapId();
transformToPoseMsg(stats.getSignature().getPose(), msg->nodes[0].pose);
compressedMatToBytes(stats.getSignature().getImageCompressed(), msg->nodes[0].image.bytes);
compressedMatToBytes(stats.getSignature().getDepthCompressed(), msg->nodes[0].depth.bytes);
compressedMatToBytes(stats.getSignature().getDepth2DCompressed(), msg->nodes[0].depth2D.bytes);
@@ -1262,6 +1310,26 @@ void CoreWrapper::publishStats(const Statistics & stats)
++index;
}
if(stats.getSignature().getWords3().size() && stats.getSignature().getWords3().size() == stats.getSignature().getWords().size())
{
pcl::PointCloud<pcl::PointXYZ> cloud;
cloud.resize(stats.getSignature().getWords3().size());
index = 0;
for(std::multimap<int, pcl::PointXYZ>::const_iterator jter=stats.getSignature().getWords3().begin();
jter!=stats.getSignature().getWords3().end();
++jter)
{
cloud[index++] = jter->second;
}
pcl::toROSMsg(cloud, msg->nodes[0].words3DValues);
}
else if(stats.getSignature().getWords3().size())
{
ROS_ERROR("Words 2D and words 3D must have the same size (%d vs %d)!",
(int)stats.getSignature().getWords().size(),
(int)stats.getSignature().getWords3().size());
}
mapData_.publish(msg);
}
}
+34 -8
View File
@@ -204,6 +204,9 @@ void GuiWrapper::infoMapCallback(
{
//Features stuff...
std::multimap<int, cv::KeyPoint> words;
std::multimap<int, pcl::PointXYZ> words3D;
pcl::PointCloud<pcl::PointXYZ> cloud;
pcl::fromROSMsg(mapMsg->nodes[0].words3DValues, cloud);
for(unsigned int i=0; i<mapMsg->nodes[0].wordsKeys.size() && i<mapMsg->nodes[0].wordsValues.size(); ++i)
{
cv::KeyPoint pt;
@@ -212,14 +215,24 @@ void GuiWrapper::infoMapCallback(
pt.pt.x = mapMsg->nodes[0].wordsValues.at(i).ptx;
pt.pt.y = mapMsg->nodes[0].wordsValues.at(i).pty;
pt.size = mapMsg->nodes[0].wordsValues.at(i).size;
words.insert(std::pair<int, cv::KeyPoint>(mapMsg->nodes[0].wordsKeys.at(i), pt));
int wordId = mapMsg->nodes[0].wordsKeys.at(i);
words.insert(std::make_pair(wordId, pt));
if(i< cloud.size())
{
words3D.insert(std::make_pair(wordId, cloud[i]));
}
}
if(words3D.size() && words3D.size() != words.size())
{
ROS_ERROR("Words 2D and 3D should be the same size (%d, %d)!", (int)words.size(), (int)words3D.size());
}
Signature signature(mapMsg->nodes[0].id,
-1, // not set, see maps above
mapMsg->nodes[0].mapId,
words,
std::multimap<int, pcl::PointXYZ>(),
Transform(), // not set, see poses above
words3D,
transformFromPoseMsg(mapMsg->nodes[0].pose),
compressedMatFromBytes(mapMsg->nodes[0].depth2D.bytes),
compressedMatFromBytes(mapMsg->nodes[0].image.bytes),
compressedMatFromBytes(mapMsg->nodes[0].depth.bytes),
@@ -287,6 +300,9 @@ void GuiWrapper::processRequestedMap(const rtabmap::MapData & map)
{
//Features stuff...
std::multimap<int, cv::KeyPoint> words;
std::multimap<int, pcl::PointXYZ> words3D;
pcl::PointCloud<pcl::PointXYZ> cloud;
pcl::fromROSMsg(map.nodes[i].words3DValues, cloud);
for(unsigned int j=0; j<map.nodes[i].wordsKeys.size() && j<map.nodes[0].wordsValues.size(); ++j)
{
cv::KeyPoint pt;
@@ -295,15 +311,25 @@ void GuiWrapper::processRequestedMap(const rtabmap::MapData & map)
pt.pt.x = map.nodes[i].wordsValues.at(j).ptx;
pt.pt.y = map.nodes[i].wordsValues.at(j).pty;
pt.size = map.nodes[i].wordsValues.at(j).size;
words.insert(std::pair<int, cv::KeyPoint>(map.nodes[i].wordsKeys.at(j), pt));
int wordId = map.nodes[i].wordsKeys.at(j);
words.insert(std::make_pair(wordId, pt));
if(j < cloud.size())
{
words3D.insert(std::make_pair(wordId, cloud[j]));
}
}
if(words3D.size() && words3D.size() != words.size())
{
ROS_ERROR("Words 2D and 3D should be the same size (%d, %d)!", (int)words.size(), (int)words3D.size());
}
signatures.insert(std::make_pair(map.nodes[i].id,
Signature(map.nodes[i].id,
-1, // not set, see maps above
map.nodes[i].mapId,
words,
std::multimap<int, pcl::PointXYZ>(),
Transform(), // not set, see poses above
words3D,
transformFromPoseMsg(map.nodes[i].pose),
compressedMatFromBytes(map.nodes[i].depth2D.bytes),
compressedMatFromBytes(map.nodes[i].image.bytes),
compressedMatFromBytes(map.nodes[i].depth.bytes),
+98 -89
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@@ -31,6 +31,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <rtabmap/core/util3d.h>
#include <rtabmap/core/Parameters.h>
#include <rtabmap/utilite/ULogger.h>
#include <rtabmap/utilite/UTimer.h>
#include <ros/subscriber.h>
#include <ros/publisher.h>
#include <tf/tf.h>
@@ -48,7 +49,7 @@ public:
odomFrameId_("odom"),
iterations_(100),
globalOptimization_(true),
condChecked_(false),
optimizeFromLastNode_(false),
mapToOdom_(tf::Transform::getIdentity()),
transformThread_(0)
{
@@ -59,32 +60,26 @@ public:
pnh.param("odom_frame_id", odomFrameId_, odomFrameId_);
pnh.param("iterations", iterations_, iterations_);
pnh.param("global_optimization", globalOptimization_, globalOptimization_);
pnh.param("optimize_from_last_node", optimizeFromLastNode_, optimizeFromLastNode_);
UASSERT(iterations_ > 0);
double tfDelay = 0.05; // 20 Hz
bool publishTf = true;
pnh.param("publish_tf", publishTf, publishTf);
pnh.param("tf_delay", tfDelay, tfDelay);
// Verify that rtabmap is not sending optimized poses!
std::string toroIterations;
if(nh.getParam(Parameters::kRGBDToroIterations(), toroIterations))
{
if(std::atoi(toroIterations.c_str()) != 0)
{
ROS_WARN("map_optimizer: Parameter \"%s\" of rtabmap node is not 0 (value=%s), it should be 0 (optimization desactivated).",
Parameters::kRGBDToroIterations().c_str(), toroIterations.c_str());
exit(-1);
}
}
mapDataTopic_ = nh.subscribe("mapData", 1, &MapOptimizer::mapDataReceivedCallback, this);
mapDataPub_ = nh.advertise<rtabmap::MapData>(nh.resolveName("mapData")+"_optimized", 1);
ROS_INFO("map_optimizer will publish tf between frames \"%s\" and \"%s\"", mapFrameId_.c_str(), odomFrameId_.c_str());
ROS_INFO("map_optimizer: map_frame_id = %s", mapFrameId_.c_str());
ROS_INFO("map_optimizer: odom_frame_id = %s", odomFrameId_.c_str());
ROS_INFO("map_optimizer: tf_delay = %f", tfDelay);
transformThread_ = new boost::thread(boost::bind(&MapOptimizer::publishLoop, this, tfDelay));
if(publishTf)
{
ROS_INFO("map_optimizer will publish tf between frames \"%s\" and \"%s\"", mapFrameId_.c_str(), odomFrameId_.c_str());
ROS_INFO("map_optimizer: map_frame_id = %s", mapFrameId_.c_str());
ROS_INFO("map_optimizer: odom_frame_id = %s", odomFrameId_.c_str());
ROS_INFO("map_optimizer: tf_delay = %f", tfDelay);
transformThread_ = new boost::thread(boost::bind(&MapOptimizer::publishLoop, this, tfDelay));
}
}
~MapOptimizer()
@@ -113,60 +108,26 @@ public:
void mapDataReceivedCallback(const rtabmap::MapDataConstPtr & msg)
{
if(globalOptimization_ && !condChecked_)
{
// Verify that rtabmap is not sending optimized poses!
ros::NodeHandle nh;
std::string toroIterations;
if(nh.getParam(Parameters::kRGBDToroIterations(), toroIterations))
{
if(std::atoi(toroIterations.c_str()) != 0)
{
ROS_ERROR("map_optimizer: Parameter \"%s\" of rtabmap node is not 0 (value=%s), it should be 0 (optimization desactivated).",
Parameters::kRGBDToroIterations().c_str(), toroIterations.c_str());
exit(-1);
}
}
else
{
ROS_ERROR("map_optimizer: Could not get parameter \"%s\" of rtabmap node, it should be 0 (optimization desactivated). Is rtabmap node started? and in the same namespace that map_assembler?", Parameters::kRGBDToroIterations().c_str());
exit(-1);
}
condChecked_ = true;
}
else if(!globalOptimization_)
{
// optimize only local map
poses_.clear();
constraints_.clear();
mapIds_.clear();
}
// save new poses and constraints
// Assuming that nodes/constraints are all linked together
UASSERT(msg->poseIDs.size() == msg->poses.size());
UASSERT(msg->mapIDs.size() == msg->poseIDs.size());
UASSERT(msg->mapIDs.size() == msg->maps.size());
std::map<int, Transform> newPoses;
std::map<int, int> newMapIds;
for(unsigned int i=0; i<msg->poseIDs.size() && i<msg->poseIDs.size(); ++i)
{
newPoses.insert(std::make_pair(msg->poseIDs[i], transformFromPoseMsg(msg->poses[i])));
newMapIds.insert(std::make_pair(msg->mapIDs[i], msg->maps[i]));
}
UASSERT(msg->constraints.size() == msg->constraintFromIDs.size() &&
msg->constraints.size() == msg->constraintToIDs.size() &&
msg->constraints.size() == msg->constraintTypes.size());
std::multimap<int, Link> allNewConstraints;
std::multimap<int, Link> filteredNewConstraints;
bool constraintsChanged = false;
bool dataChanged = false;
std::multimap<int, Link> newConstraints;
for(unsigned int i=0; i<msg->constraints.size() && i<msg->constraints.size(); ++i)
{
Link link(msg->constraintFromIDs[i], msg->constraintToIDs[i], transformFromGeometryMsg(msg->constraints[i]), (Link::Type)msg->constraintTypes[i]);
allNewConstraints.insert(std::make_pair(link.from(), link));
newConstraints.insert(std::make_pair(link.from(), link));
bool edgeAlreadyAdded = false;
for(std::multimap<int, Link>::iterator iter = constraints_.lower_bound(link.from());
iter != constraints_.end() && iter->first == link.from();
for(std::multimap<int, Link>::iterator iter = cachedConstraints_.lower_bound(link.from());
iter != cachedConstraints_.end() && iter->first == link.from();
++iter)
{
if(iter->second.to() == link.to())
@@ -174,59 +135,106 @@ public:
edgeAlreadyAdded = true;
if(iter->second.transform() != link.transform())
{
constraintsChanged = true;
dataChanged = true;
}
}
}
if(!edgeAlreadyAdded)
{
filteredNewConstraints.insert(std::make_pair(link.from(), link));
cachedConstraints_.insert(std::make_pair(link.from(), link));
}
}
//If a transform has changed, clear all.
if(constraintsChanged)
std::map<int, Transform> newPoses;
std::map<int, int> newMapIds;
// add new odometry poses
for(unsigned int i=0; i<msg->nodes.size(); ++i)
{
UWARN("Some received constraints have changed from the cached "
"constraints. RTAB-Map is restarted? If yes, ignore this "
"warning. Clearing all cached constraints and restart with "
"the new ones...");
poses_ = newPoses;
mapIds_ = newMapIds;
constraints_ = allNewConstraints;
int id = msg->nodes[i].id;
Transform pose = transformFromPoseMsg(msg->nodes[i].pose);
newPoses.insert(std::make_pair(id, pose));
newMapIds.insert(std::make_pair(id, msg->nodes[i].mapId));
std::pair<std::map<int, Transform>::iterator, bool> p = cachedPoses_.insert(std::make_pair(id, pose));
if(!p.second && pose != cachedPoses_.at(id))
{
dataChanged = true;
}
else if(p.second)
{
cachedMapIds_.insert(std::make_pair(id, msg->nodes[i].mapId));
}
}
if(dataChanged)
{
ROS_WARN("Graph data has changed! Reset cache...");
cachedPoses_ = newPoses;
cachedMapIds_ = newMapIds;
cachedConstraints_ = newConstraints;
}
//match poses in the graph
std::map<int, Transform> poses;
std::map<int, int> mapIds;
std::multimap<int, Link> constraints;
if(globalOptimization_)
{
poses = cachedPoses_;
mapIds = cachedMapIds_;
constraints = cachedConstraints_;
}
else
{
poses_.insert(newPoses.begin(), newPoses.end());
mapIds_.insert(newMapIds.begin(), newMapIds.end());
constraints_.insert(filteredNewConstraints.begin(), filteredNewConstraints.end());
constraints = newConstraints;
for(unsigned int i=0; i<msg->poseIDs.size(); ++i)
{
std::map<int, Transform>::iterator iter = cachedPoses_.find(msg->poseIDs[i]);
if(iter != cachedPoses_.end())
{
poses.insert(*iter);
mapIds.insert(*cachedMapIds_.find(iter->first));
}
else
{
ROS_ERROR("Odometry pose of node %d not found in cache!", msg->poseIDs[i]);
return;
}
}
}
// Optimize only if there is a subscriber
if(mapDataPub_.getNumSubscribers())
{
UTimer timer;
std::map<int, Transform> optimizedPoses;
std::map<int, int> mapIds = mapIds_;
Transform mapCorrection = Transform::getIdentity();
if(poses_.size() > 1 && constraints_.size() > 0)
if(poses.size() > 1 && constraints.size() > 0)
{
Transform mapCorrectionToro;
util3d::optimizeTOROGraph(poses_, constraints_, optimizedPoses, mapCorrectionToro, iterations_, true);
if(optimizeFromLastNode_)
{
std::map<int, int> depthGraph = util3d::generateDepthGraph(constraints, poses.rbegin()->first);
util3d::optimizeTOROGraph(depthGraph, poses, constraints, optimizedPoses, iterations_);
}
else
{
util3d::optimizeTOROGraph(poses, constraints, optimizedPoses, iterations_);
}
mapToOdomMutex_.lock();
mapCorrection = optimizedPoses.at(poses_.rbegin()->first) * poses_.rbegin()->second.inverse();
mapCorrection = optimizedPoses.at(poses.rbegin()->first) * poses.rbegin()->second.inverse();
rtabmap::transformToTF(mapCorrection, mapToOdom_);
mapToOdomMutex_.unlock();
}
else if(poses_.size() == 1 && constraints_.size() == 0)
else if(poses.size() == 1 && constraints.size() == 0)
{
optimizedPoses = poses_;
optimizedPoses = poses;
}
else if(poses_.size() || constraints_.size())
else if(poses.size() || constraints.size())
{
ROS_ERROR("map_optimizer: Poses=%zu and edges=%zu (poses must "
ROS_ERROR("map_optimizer: Poses=%d and edges=%d (poses must "
"not be null if there are edges, and edges must be null if poses <= 1)",
poses_.size(), constraints_.size());
(int)poses.size(), (int)constraints.size());
mapIds.clear();
}
@@ -248,6 +256,8 @@ public:
++i;
}
mapDataPub_.publish(outputMsg);
ROS_INFO("Time graph optimization = %f s", timer.ticks());
}
}
@@ -256,8 +266,7 @@ private:
std::string odomFrameId_;
int iterations_;
bool globalOptimization_;
bool condChecked_;
bool optimizeFromLastNode_;
tf::Transform mapToOdom_;
boost::mutex mapToOdomMutex_;
@@ -266,9 +275,9 @@ private:
ros::Publisher mapDataPub_;
std::map<int, Transform> poses_;
std::multimap<int, Link> constraints_;
std::map<int, int> mapIds_;
std::map<int, Transform> cachedPoses_;
std::map<int, int> cachedMapIds_;
std::multimap<int, Link> cachedConstraints_;
tf::TransformBroadcaster tfBroadcaster_;
boost::thread* transformThread_;