0.13.3: scan2d normal support

This commit is contained in:
matlabbe
2017-09-09 22:46:37 -04:00
parent b772fce84b
commit 4d0423c538
12 changed files with 259 additions and 44 deletions
+30 -12
View File
@@ -36,7 +36,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <std_msgs/Bool.h>
#include <sensor_msgs/image_encodings.h>
#include <cv_bridge/cv_bridge.h>
#include <pcl/io/pcd_io.h>
#include <pcl/io/io.h>
#include <visualization_msgs/MarkerArray.h>
@@ -50,6 +50,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <rtabmap/core/util2d.h>
#include <rtabmap/core/util3d.h>
#include <rtabmap/core/util3d_transforms.h>
#include <rtabmap/core/util3d_surface.h>
#include <rtabmap/core/Memory.h>
#include <rtabmap/core/OdometryEvent.h>
#include <rtabmap/core/Version.h>
@@ -102,6 +103,7 @@ CoreWrapper::CoreWrapper() :
genScanMinDepth_(0.0),
scanCloudMaxPoints_(0),
scanCloudNormalK_(0),
scanCloudNormalRadius_(0.0f),
mapToOdom_(rtabmap::Transform::getIdentity()),
transformThread_(0),
tfThreadRunning_(false),
@@ -161,6 +163,7 @@ void CoreWrapper::onInit()
pnh.param("gen_scan_min_depth", genScanMinDepth_, genScanMinDepth_);
pnh.param("scan_cloud_max_points", scanCloudMaxPoints_, scanCloudMaxPoints_);
pnh.param("scan_cloud_normal_k", scanCloudNormalK_, scanCloudNormalK_);
pnh.param("scan_cloud_normal_radius", scanCloudNormalRadius_, scanCloudNormalRadius_);
pnh.param("stereo_to_depth", stereoToDepth_, stereoToDepth_);
pnh.param("odom_sensor_sync", odomSensorSync_, odomSensorSync_);
if(pnh.hasParam("flip_scan"))
@@ -977,17 +980,28 @@ void CoreWrapper::commonDepthCallbackImpl(
cv::Mat scan;
Transform scanLocalTransform = Transform::getIdentity();
pcl::PointCloud<pcl::PointXYZ> scanCloud2d;
bool genMaxScanPts = 0;
if(scan2dMsg.get() == 0 && scan3dMsg.get() == 0 && !depth.empty() && genScan_)
{
scanCloud2d = util3d::laserScanFromDepthImages(
pcl::PointCloud<pcl::PointXYZ>::Ptr scanCloud2d(new pcl::PointCloud<pcl::PointXYZ>);
*scanCloud2d = util3d::laserScanFromDepthImages(
depth,
cameraModels,
genScanMaxDepth_,
genScanMinDepth_);
genMaxScanPts += depth.cols;
scan = util3d::laserScan2dFromPointCloud(scanCloud2d);
if(scanCloudNormalK_ > 0 || scanCloudNormalRadius_>0.0f)
{
//compute normals
pcl::PointCloud<pcl::Normal>::Ptr normals = rtabmap::util3d::computeFastOrganizedNormals2D(scanCloud2d, scanCloudNormalK_, scanCloudNormalRadius_);
pcl::PointCloud<pcl::PointNormal>::Ptr pclScanNormal(new pcl::PointCloud<pcl::PointNormal>);
pcl::concatenateFields(*scanCloud2d, *normals, *pclScanNormal);
scan = rtabmap::util3d::laserScanFromPointCloud(*pclScanNormal);
}
else
{
scan = rtabmap::util3d::laserScan2dFromPointCloud(*scanCloud2d);
}
}
else if(scan2dMsg.get() != 0)
{
@@ -999,7 +1013,9 @@ void CoreWrapper::commonDepthCallbackImpl(
scan,
scanLocalTransform,
tfListener_,
waitForTransform_?waitForTransformDuration_:0))
waitForTransform_?waitForTransformDuration_:0,
scanCloudNormalK_,
scanCloudNormalRadius_))
{
NODELET_ERROR("Could not convert laser scan msg! Aborting rtabmap update...");
return;
@@ -1025,11 +1041,12 @@ void CoreWrapper::commonDepthCallbackImpl(
frameId_,
odomSensorSync_?odomFrameId:"",
lastPoseStamp_,
scanCloudNormalK_,
scan,
scanLocalTransform,
tfListener_,
waitForTransform_?waitForTransformDuration_:0))
waitForTransform_?waitForTransformDuration_:0,
scanCloudNormalK_,
scanCloudNormalRadius_))
{
NODELET_ERROR("Could not convert 3d laser scan msg! Aborting rtabmap update...");
return;
@@ -1058,8 +1075,6 @@ void CoreWrapper::commonDepthCallbackImpl(
userData_ = cv::Mat();
}
SensorData data(scan,
LaserScanInfo(
scan2dMsg.get() != 0?(int)scan2dMsg->ranges.size():(genScan_?genMaxScanPts:scan3dMsg.get() != 0?scanCloudMaxPoints_:0),
@@ -1241,7 +1256,9 @@ void CoreWrapper::commonStereoCallback(
scan,
scanLocalTransform,
tfListener_,
waitForTransform_?waitForTransformDuration_:0))
waitForTransform_?waitForTransformDuration_:0,
scanCloudNormalK_,
scanCloudNormalRadius_))
{
NODELET_ERROR("Could not convert laser scan msg! Aborting rtabmap update...");
return;
@@ -1267,11 +1284,12 @@ void CoreWrapper::commonStereoCallback(
frameId_,
odomSensorSync_?odomFrameId:"",
lastPoseStamp_,
scanCloudNormalK_,
scan,
scanLocalTransform,
tfListener_,
waitForTransform_?waitForTransformDuration_:0))
waitForTransform_?waitForTransformDuration_:0,
scanCloudNormalK_,
scanCloudNormalRadius_))
{
NODELET_ERROR("Could not convert 3d laser scan msg! Aborting rtabmap update...");
return;
-2
View File
@@ -542,7 +542,6 @@ void GuiWrapper::commonDepthCallback(
frameId_,
odomSensorSync_?odomHeader.frame_id:"",
odomHeader.stamp,
0,
scan,
scanLocalTransform,
tfListener_,
@@ -698,7 +697,6 @@ void GuiWrapper::commonStereoCallback(
frameId_,
odomSensorSync_?odomHeader.frame_id:"",
odomHeader.stamp,
0,
scan,
scanLocalTransform,
tfListener_,
+25 -7
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@@ -31,6 +31,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <zlib.h>
#include <ros/ros.h>
#include <rtabmap/core/util3d.h>
#include <rtabmap/core/util3d_filtering.h>
#include <rtabmap/core/Compression.h>
#include <rtabmap/utilite/UStl.h>
#include <rtabmap/utilite/ULogger.h>
@@ -1353,7 +1354,9 @@ bool convertScanMsg(
cv::Mat & scan,
rtabmap::Transform & scanLocalTransform,
tf::TransformListener & listener,
double waitForTransform)
double waitForTransform,
int scanCloudNormalK,
float scanCloudNormalRadius)
{
// make sure the frame of the laser is updated too
rtabmap::Transform tmpT = getTransform(
@@ -1418,7 +1421,21 @@ bool convertScanMsg(
scanLocalTransform = sensorT * scanLocalTransform;
}
}
scan = rtabmap::util3d::laserScan2dFromPointCloud(*pclScan, laserToOdom); // put back in laser frame
if(scanCloudNormalK > 0 || scanCloudNormalRadius>0.0f)
{
//compute normals
pcl::PointCloud<pcl::Normal>::Ptr normals = rtabmap::util3d::computeFastOrganizedNormals2D(pclScan, scanCloudNormalK, scanCloudNormalRadius);
pcl::PointCloud<pcl::PointNormal>::Ptr pclScanNormal(new pcl::PointCloud<pcl::PointNormal>);
pcl::concatenateFields(*pclScan, *normals, *pclScanNormal);
scan = rtabmap::util3d::laserScanFromPointCloud(*rtabmap::util3d::removeNaNNormalsFromPointCloud(pclScanNormal), laserToOdom); // put back in laser frame
}
else
{
scan = rtabmap::util3d::laserScan2dFromPointCloud(*pclScan, laserToOdom); // put back in laser frame
}
return true;
}
@@ -1427,11 +1444,12 @@ bool convertScan3dMsg(
const std::string & frameId,
const std::string & odomFrameId,
const ros::Time & odomStamp,
int scanCloudNormalK,
cv::Mat & scan,
rtabmap::Transform & scanLocalTransform,
tf::TransformListener & listener,
double waitForTransform)
double waitForTransform,
int scanCloudNormalK,
float scanCloudNormalRadius)
{
bool containNormals = false;
for(unsigned int i=0; i<scan3dMsg->fields.size(); ++i)
@@ -1483,13 +1501,13 @@ bool convertScan3dMsg(
pcl::PointCloud<pcl::PointXYZ>::Ptr pclScan(new pcl::PointCloud<pcl::PointXYZ>);
pcl::fromROSMsg(*scan3dMsg, *pclScan);
if(scanCloudNormalK > 0)
if(scanCloudNormalK > 0 || scanCloudNormalRadius>0.0f)
{
//compute normals
pcl::PointCloud<pcl::Normal>::Ptr normals = rtabmap::util3d::computeNormals(pclScan, scanCloudNormalK);
pcl::PointCloud<pcl::Normal>::Ptr normals = rtabmap::util3d::computeNormals(pclScan, scanCloudNormalK, scanCloudNormalRadius);
pcl::PointCloud<pcl::PointNormal>::Ptr pclScanNormal(new pcl::PointCloud<pcl::PointNormal>);
pcl::concatenateFields(*pclScan, *normals, *pclScanNormal);
scan = rtabmap::util3d::laserScanFromPointCloud(*pclScanNormal);
scan = rtabmap::util3d::laserScanFromPointCloud(*rtabmap::util3d::removeNaNNormalsFromPointCloud(pclScanNormal));
}
else
{
+19 -4
View File
@@ -57,7 +57,8 @@ public:
ICPOdometry() :
OdometryROS(false, false, true),
scanCloudMaxPoints_(0),
scanCloudNormalK_(0)
scanCloudNormalK_(0),
scanCloudNormalRadius_(0.0f)
{
}
@@ -74,6 +75,7 @@ private:
pnh.param("scan_cloud_max_points", scanCloudMaxPoints_, scanCloudMaxPoints_);
pnh.param("scan_cloud_normal_k", scanCloudNormalK_, scanCloudNormalK_);
pnh.param("scan_cloud_normal_k", scanCloudNormalRadius_, scanCloudNormalRadius_);
scan_sub_ = nh.subscribe("scan", 1, &ICPOdometry::callbackScan, this);
cloud_sub_ = nh.subscribe("scan_cloud", 1, &ICPOdometry::callbackCloud, this);
@@ -109,7 +111,19 @@ private:
pcl::PointCloud<pcl::PointXYZ>::Ptr pclScan(new pcl::PointCloud<pcl::PointXYZ>);
pcl::fromROSMsg(scanOut, *pclScan);
cv::Mat scan = util3d::laserScan2dFromPointCloud(*pclScan);
cv::Mat scan;
if(scanCloudNormalK_ > 0 || scanCloudNormalRadius_>0.0f)
{
//compute normals
pcl::PointCloud<pcl::Normal>::Ptr normals = util3d::computeFastOrganizedNormals2D(pclScan, scanCloudNormalK_, scanCloudNormalRadius_);
pcl::PointCloud<pcl::PointNormal>::Ptr pclScanNormal(new pcl::PointCloud<pcl::PointNormal>);
pcl::concatenateFields(*pclScan, *normals, *pclScanNormal);
scan = util3d::laserScanFromPointCloud(*pclScanNormal);
}
else
{
scan = util3d::laserScan2dFromPointCloud(*pclScan);
}
rtabmap::SensorData data(
scan,
@@ -154,10 +168,10 @@ private:
pcl::PointCloud<pcl::PointXYZ>::Ptr pclScan(new pcl::PointCloud<pcl::PointXYZ>);
pcl::fromROSMsg(*cloudMsg, *pclScan);
if(scanCloudNormalK_ > 0)
if(scanCloudNormalK_ > 0 || scanCloudNormalRadius_>0.0f)
{
//compute normals
pcl::PointCloud<pcl::Normal>::Ptr normals = util3d::computeNormals(pclScan, scanCloudNormalK_);
pcl::PointCloud<pcl::Normal>::Ptr normals = util3d::computeNormals(pclScan, scanCloudNormalK_, scanCloudNormalRadius_);
pcl::PointCloud<pcl::PointNormal>::Ptr pclScanNormal(new pcl::PointCloud<pcl::PointNormal>);
pcl::concatenateFields(*pclScan, *normals, *pclScanNormal);
scan = util3d::laserScanFromPointCloud(*pclScanNormal);
@@ -191,6 +205,7 @@ private:
ros::Subscriber cloud_sub_;
int scanCloudMaxPoints_;
int scanCloudNormalK_;
float scanCloudNormalRadius_;
};
PLUGINLIB_EXPORT_CLASS(rtabmap_ros::ICPOdometry, nodelet::Nodelet);
+22 -4
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@@ -53,9 +53,10 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <cv_bridge/cv_bridge.h>
#include <opencv2/highgui/highgui.hpp>
#include "rtabmap/core/util2d.h"
#include "rtabmap/core/util3d.h"
#include "rtabmap/core/util3d_filtering.h"
#include "rtabmap/core/Features2d.h"
#include "rtabmap/core/util3d_surface.h"
#include "rtabmap/utilite/UConversion.h"
#include "rtabmap/utilite/UStl.h"
@@ -72,6 +73,8 @@ public:
decimation_(1),
noiseFilterRadius_(0.0),
noiseFilterMinNeighbors_(5),
normalK_(0),
normalRadius_(0.0f),
approxSyncDepth_(0),
approxSyncDisparity_(0),
exactSyncDepth_(0),
@@ -107,6 +110,8 @@ private:
pnh.param("decimation", decimation_, decimation_);
pnh.param("noise_filter_radius", noiseFilterRadius_, noiseFilterRadius_);
pnh.param("noise_filter_min_neighbors", noiseFilterMinNeighbors_, noiseFilterMinNeighbors_);
pnh.param("normal_k", normalK_, normalK_);
pnh.param("normal_radius", normalRadius_, normalRadius_);
pnh.param("roi_ratios", roiStr, roiStr);
// Deprecated
@@ -208,7 +213,7 @@ private:
ros::WallTime time = ros::WallTime::now();
cv_bridge::CvImageConstPtr imageDepthPtr = cv_bridge::toCvShare(depth);
cv::Rect roi = rtabmap::Feature2D::computeRoi(imageDepthPtr->image, roiRatios_);
cv::Rect roi = rtabmap::util2d::computeRoi(imageDepthPtr->image, roiRatios_);
image_geometry::PinholeCameraModel model;
model.fromCameraInfo(*cameraInfo);
@@ -259,7 +264,7 @@ private:
{
ros::WallTime time = ros::WallTime::now();
cv::Rect roi = rtabmap::Feature2D::computeRoi(disparity, roiRatios_);
cv::Rect roi = rtabmap::util2d::computeRoi(disparity, roiRatios_);
pcl::PointCloud<pcl::PointXYZ>::Ptr pclCloud;
rtabmap::CameraModel leftModel = rtabmap_ros::cameraModelFromROS(*cameraInfo);
@@ -303,7 +308,18 @@ private:
}
sensor_msgs::PointCloud2 rosCloud;
pcl::toROSMsg(*pclCloud, rosCloud);
if(pclCloud->size() && (normalK_ > 0 || noiseFilterRadius_ > 0.0f))
{
//compute normals
pcl::PointCloud<pcl::Normal>::Ptr normals = rtabmap::util3d::computeNormals(pclCloud, normalK_, normalRadius_);
pcl::PointCloud<pcl::PointNormal>::Ptr pclCloudNormal(new pcl::PointCloud<pcl::PointNormal>);
pcl::concatenateFields(*pclCloud, *normals, *pclCloudNormal);
pcl::toROSMsg(*pclCloudNormal, rosCloud);
}
else
{
pcl::toROSMsg(*pclCloud, rosCloud);
}
rosCloud.header.stamp = header.stamp;
rosCloud.header.frame_id = header.frame_id;
@@ -319,6 +335,8 @@ private:
int decimation_;
double noiseFilterRadius_;
int noiseFilterMinNeighbors_;
int normalK_;
float normalRadius_;
std::vector<float> roiRatios_;
ros::Publisher cloudPub_;
+134 -5
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@@ -40,6 +40,8 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <sensor_msgs/image_encodings.h>
#include <sensor_msgs/CameraInfo.h>
#include <stereo_msgs/DisparityImage.h>
#include <image_transport/image_transport.h>
#include <image_transport/subscriber_filter.h>
@@ -53,9 +55,10 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <cv_bridge/cv_bridge.h>
#include <opencv2/highgui/highgui.hpp>
#include "rtabmap/core/util2d.h"
#include "rtabmap/core/util3d.h"
#include "rtabmap/core/util3d_filtering.h"
#include "rtabmap/core/Features2d.h"
#include "rtabmap/core/util3d_surface.h"
#include "rtabmap/utilite/UConversion.h"
#include "rtabmap/utilite/UStl.h"
@@ -72,6 +75,8 @@ public:
decimation_(1),
noiseFilterRadius_(0.0),
noiseFilterMinNeighbors_(5),
normalK_(0),
normalRadius_(0.0f),
approxSyncDepth_(0),
approxSyncStereo_(0),
exactSyncDepth_(0),
@@ -107,6 +112,8 @@ private:
pnh.param("decimation", decimation_, decimation_);
pnh.param("noise_filter_radius", noiseFilterRadius_, noiseFilterRadius_);
pnh.param("noise_filter_min_neighbors", noiseFilterMinNeighbors_, noiseFilterMinNeighbors_);
pnh.param("normal_k", normalK_, normalK_);
pnh.param("normal_radius", normalRadius_, normalRadius_);
pnh.param("roi_ratios", roiStr, roiStr);
//parse roi (region of interest)
@@ -142,6 +149,36 @@ private:
}
}
// StereoBM parameters
stereoBMParameters_ = rtabmap::Parameters::getDefaultParameters("StereoBM");
for(rtabmap::ParametersMap::iterator iter=stereoBMParameters_.begin(); iter!=stereoBMParameters_.end(); ++iter)
{
std::string vStr;
bool vBool;
int vInt;
double vDouble;
if(pnh.getParam(iter->first, vStr))
{
NODELET_INFO("point_cloud_xyzrgb: Setting parameter \"%s\"=\"%s\"", iter->first.c_str(), vStr.c_str());
iter->second = vStr;
}
else if(pnh.getParam(iter->first, vBool))
{
NODELET_INFO("point_cloud_xyzrgb: Setting parameter \"%s\"=\"%s\"", iter->first.c_str(), uBool2Str(vBool).c_str());
iter->second = uBool2Str(vBool);
}
else if(pnh.getParam(iter->first, vDouble))
{
NODELET_INFO("point_cloud_xyzrgb: Setting parameter \"%s\"=\"%s\"", iter->first.c_str(), uNumber2Str(vDouble).c_str());
iter->second = uNumber2Str(vDouble);
}
else if(pnh.getParam(iter->first, vInt))
{
NODELET_INFO("point_cloud_xyzrgb: Setting parameter \"%s\"=\"%s\"", iter->first.c_str(), uNumber2Str(vInt).c_str());
iter->second = uNumber2Str(vInt);
}
}
NODELET_INFO("Approximate time sync = %s", approxSync?"true":"false");
cloudPub_ = nh.advertise<sensor_msgs::PointCloud2>("cloud", 1);
@@ -152,6 +189,9 @@ private:
approxSyncDepth_ = new message_filters::Synchronizer<MyApproxSyncDepthPolicy>(MyApproxSyncDepthPolicy(queueSize), imageSub_, imageDepthSub_, cameraInfoSub_);
approxSyncDepth_->registerCallback(boost::bind(&PointCloudXYZRGB::depthCallback, this, _1, _2, _3));
approxSyncDisparity_ = new message_filters::Synchronizer<MyApproxSyncDisparityPolicy>(MyApproxSyncDisparityPolicy(queueSize), imageLeft_, imageDisparitySub_, cameraInfoLeft_);
approxSyncDisparity_->registerCallback(boost::bind(&PointCloudXYZRGB::disparityCallback, this, _1, _2, _3));
approxSyncStereo_ = new message_filters::Synchronizer<MyApproxSyncStereoPolicy>(MyApproxSyncStereoPolicy(queueSize), imageLeft_, imageRight_, cameraInfoLeft_, cameraInfoRight_);
approxSyncStereo_->registerCallback(boost::bind(&PointCloudXYZRGB::stereoCallback, this, _1, _2, _3, _4));
}
@@ -160,6 +200,9 @@ private:
exactSyncDepth_ = new message_filters::Synchronizer<MyExactSyncDepthPolicy>(MyExactSyncDepthPolicy(queueSize), imageSub_, imageDepthSub_, cameraInfoSub_);
exactSyncDepth_->registerCallback(boost::bind(&PointCloudXYZRGB::depthCallback, this, _1, _2, _3));
exactSyncDisparity_ = new message_filters::Synchronizer<MyExactSyncDisparityPolicy>(MyExactSyncDisparityPolicy(queueSize), imageLeft_, imageDisparitySub_, cameraInfoLeft_);
exactSyncDisparity_->registerCallback(boost::bind(&PointCloudXYZRGB::disparityCallback, this, _1, _2, _3));
exactSyncStereo_ = new message_filters::Synchronizer<MyExactSyncStereoPolicy>(MyExactSyncStereoPolicy(queueSize), imageLeft_, imageRight_, cameraInfoLeft_, cameraInfoRight_);
exactSyncStereo_->registerCallback(boost::bind(&PointCloudXYZRGB::stereoCallback, this, _1, _2, _3, _4));
}
@@ -177,7 +220,6 @@ private:
imageDepthSub_.subscribe(depth_it, depth_nh.resolveName("image"), 1, hintsDepth);
cameraInfoSub_.subscribe(rgb_nh, "camera_info", 1);
ros::NodeHandle left_nh(nh, "left");
ros::NodeHandle right_nh(nh, "right");
ros::NodeHandle left_pnh(pnh, "left");
@@ -187,6 +229,8 @@ private:
image_transport::TransportHints hintsLeft("raw", ros::TransportHints(), left_pnh);
image_transport::TransportHints hintsRight("raw", ros::TransportHints(), right_pnh);
imageDisparitySub_.subscribe(nh, "disparity", 1);
imageLeft_.subscribe(left_it, left_nh.resolveName("image"), 1, hintsLeft);
imageRight_.subscribe(right_it, right_nh.resolveName("image"), 1, hintsRight);
cameraInfoLeft_.subscribe(left_nh, "camera_info", 1);
@@ -242,7 +286,7 @@ private:
ROS_ASSERT(imageDepthPtr->image.rows == imagePtr->image.rows);
pcl::PointCloud<pcl::PointXYZRGB>::Ptr pclCloud;
cv::Rect roi = rtabmap::Feature2D::computeRoi(imageDepthPtr->image, roiRatios_);
cv::Rect roi = rtabmap::util2d::computeRoi(imageDepthPtr->image, roiRatios_);
rtabmap::CameraModel m(
model.fx(),
@@ -266,6 +310,68 @@ private:
}
}
void disparityCallback(
const sensor_msgs::ImageConstPtr& image,
const stereo_msgs::DisparityImageConstPtr& imageDisparity,
const sensor_msgs::CameraInfoConstPtr& cameraInfo)
{
cv_bridge::CvImageConstPtr imagePtr;
if(image->encoding.compare(sensor_msgs::image_encodings::TYPE_8UC1)==0)
{
imagePtr = cv_bridge::toCvShare(image);
}
else if(image->encoding.compare(sensor_msgs::image_encodings::MONO8) == 0 ||
image->encoding.compare(sensor_msgs::image_encodings::MONO16) == 0)
{
imagePtr = cv_bridge::toCvShare(image, "mono8");
}
else
{
imagePtr = cv_bridge::toCvShare(image, "bgr8");
}
if(imageDisparity->image.encoding.compare(sensor_msgs::image_encodings::TYPE_32FC1) !=0 &&
imageDisparity->image.encoding.compare(sensor_msgs::image_encodings::TYPE_16SC1) !=0)
{
NODELET_ERROR("Input type must be disparity=32FC1 or 16SC1");
return;
}
cv::Mat disparity;
if(imageDisparity->image.encoding.compare(sensor_msgs::image_encodings::TYPE_32FC1) == 0)
{
disparity = cv::Mat(imageDisparity->image.height, imageDisparity->image.width, CV_32FC1, const_cast<uchar*>(imageDisparity->image.data.data()));
}
else
{
disparity = cv::Mat(imageDisparity->image.height, imageDisparity->image.width, CV_16SC1, const_cast<uchar*>(imageDisparity->image.data.data()));
}
if(cloudPub_.getNumSubscribers())
{
ros::WallTime time = ros::WallTime::now();
cv::Rect roi = rtabmap::util2d::computeRoi(disparity, roiRatios_);
pcl::PointCloud<pcl::PointXYZRGB>::Ptr pclCloud;
rtabmap::CameraModel leftModel = rtabmap_ros::cameraModelFromROS(*cameraInfo);
rtabmap::StereoCameraModel stereoModel(imageDisparity->f, imageDisparity->f, leftModel.cx()-roiRatios_[0]*double(disparity.cols), leftModel.cy()-roiRatios_[2]*double(disparity.rows), imageDisparity->T);
pcl::IndicesPtr indices(new std::vector<int>);
pclCloud = rtabmap::util3d::cloudFromDisparityRGB(
cv::Mat(imagePtr->image, roi),
cv::Mat(disparity, roi),
stereoModel,
decimation_,
maxDepth_,
minDepth_,
indices.get());
processAndPublish(pclCloud, indices, imageDisparity->header);
NODELET_DEBUG("point_cloud_xyzrgb from disparity time = %f s", (ros::WallTime::now() - time).toSec());
}
}
void stereoCallback(const sensor_msgs::ImageConstPtr& imageLeft,
const sensor_msgs::ImageConstPtr& imageRight,
const sensor_msgs::CameraInfoConstPtr& camInfoLeft,
@@ -314,7 +420,8 @@ private:
decimation_,
maxDepth_,
minDepth_,
indices.get());
indices.get(),
stereoBMParameters_);
processAndPublish(pclCloud, indices, imageLeft->header);
@@ -346,7 +453,18 @@ private:
}
sensor_msgs::PointCloud2 rosCloud;
pcl::toROSMsg(*pclCloud, rosCloud);
if(pclCloud->size() && (normalK_ > 0 || noiseFilterRadius_ > 0.0f))
{
//compute normals
pcl::PointCloud<pcl::Normal>::Ptr normals = rtabmap::util3d::computeNormals(pclCloud, normalK_, normalRadius_);
pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr pclCloudNormal(new pcl::PointCloud<pcl::PointXYZRGBNormal>);
pcl::concatenateFields(*pclCloud, *normals, *pclCloudNormal);
pcl::toROSMsg(*pclCloudNormal, rosCloud);
}
else
{
pcl::toROSMsg(*pclCloud, rosCloud);
}
rosCloud.header.stamp = header.stamp;
rosCloud.header.frame_id = header.frame_id;
@@ -362,7 +480,10 @@ private:
int decimation_;
double noiseFilterRadius_;
int noiseFilterMinNeighbors_;
int normalK_;
float normalRadius_;
std::vector<float> roiRatios_;
rtabmap::ParametersMap stereoBMParameters_;
ros::Publisher cloudPub_;
@@ -370,6 +491,8 @@ private:
image_transport::SubscriberFilter imageDepthSub_;
message_filters::Subscriber<sensor_msgs::CameraInfo> cameraInfoSub_;
message_filters::Subscriber<stereo_msgs::DisparityImage> imageDisparitySub_;
image_transport::SubscriberFilter imageLeft_;
image_transport::SubscriberFilter imageRight_;
message_filters::Subscriber<sensor_msgs::CameraInfo> cameraInfoLeft_;
@@ -378,12 +501,18 @@ private:
typedef message_filters::sync_policies::ApproximateTime<sensor_msgs::Image, sensor_msgs::Image, sensor_msgs::CameraInfo> MyApproxSyncDepthPolicy;
message_filters::Synchronizer<MyApproxSyncDepthPolicy> * approxSyncDepth_;
typedef message_filters::sync_policies::ApproximateTime<sensor_msgs::Image, stereo_msgs::DisparityImage, sensor_msgs::CameraInfo> MyApproxSyncDisparityPolicy;
message_filters::Synchronizer<MyApproxSyncDisparityPolicy> * approxSyncDisparity_;
typedef message_filters::sync_policies::ApproximateTime<sensor_msgs::Image, sensor_msgs::Image, sensor_msgs::CameraInfo, sensor_msgs::CameraInfo> MyApproxSyncStereoPolicy;
message_filters::Synchronizer<MyApproxSyncStereoPolicy> * approxSyncStereo_;
typedef message_filters::sync_policies::ExactTime<sensor_msgs::Image, sensor_msgs::Image, sensor_msgs::CameraInfo> MyExactSyncDepthPolicy;
message_filters::Synchronizer<MyExactSyncDepthPolicy> * exactSyncDepth_;
typedef message_filters::sync_policies::ExactTime<sensor_msgs::Image, stereo_msgs::DisparityImage, sensor_msgs::CameraInfo> MyExactSyncDisparityPolicy;
message_filters::Synchronizer<MyExactSyncDisparityPolicy> * exactSyncDisparity_;
typedef message_filters::sync_policies::ExactTime<sensor_msgs::Image, sensor_msgs::Image, sensor_msgs::CameraInfo, sensor_msgs::CameraInfo> MyExactSyncStereoPolicy;
message_filters::Synchronizer<MyExactSyncStereoPolicy> * exactSyncStereo_;
};
+18 -4
View File
@@ -73,7 +73,8 @@ public:
exactCloudSync_(0),
queueSize_(5),
scanCloudMaxPoints_(0),
scanCloudNormalK_(0)
scanCloudNormalK_(0),
scanCloudNormalRadius_(0.0f)
{
}
@@ -111,6 +112,7 @@ private:
pnh.param("subscribe_scan_cloud", subscribeScanCloud, subscribeScanCloud);
pnh.param("scan_cloud_max_points", scanCloudMaxPoints_, scanCloudMaxPoints_);
pnh.param("scan_cloud_normal_k", scanCloudNormalK_, scanCloudNormalK_);
pnh.param("scan_cloud_normal_radius", scanCloudNormalRadius_, scanCloudNormalRadius_);
ros::NodeHandle rgb_nh(nh, "rgb");
ros::NodeHandle depth_nh(nh, "depth");
@@ -292,7 +294,18 @@ private:
pcl::PointCloud<pcl::PointXYZ>::Ptr pclScan(new pcl::PointCloud<pcl::PointXYZ>);
pcl::fromROSMsg(scanOut, *pclScan);
scan = util3d::laserScan2dFromPointCloud(*pclScan);
if(scanCloudNormalK_ > 0 || scanCloudNormalRadius_>0.0f)
{
//compute normals
pcl::PointCloud<pcl::Normal>::Ptr normals = util3d::computeFastOrganizedNormals2D(pclScan, scanCloudNormalK_, scanCloudNormalRadius_);
pcl::PointCloud<pcl::PointNormal>::Ptr pclScanNormal(new pcl::PointCloud<pcl::PointNormal>);
pcl::concatenateFields(*pclScan, *normals, *pclScanNormal);
scan = util3d::laserScanFromPointCloud(*pclScanNormal);
}
else
{
scan = util3d::laserScan2dFromPointCloud(*pclScan);
}
}
else if(cloudMsg.get() != 0)
{
@@ -323,10 +336,10 @@ private:
pcl::PointCloud<pcl::PointXYZ>::Ptr pclScan(new pcl::PointCloud<pcl::PointXYZ>);
pcl::fromROSMsg(*cloudMsg, *pclScan);
if(scanCloudNormalK_ > 0)
if(scanCloudNormalK_ > 0 || scanCloudNormalRadius_>0.0f)
{
//compute normals
pcl::PointCloud<pcl::Normal>::Ptr normals = util3d::computeNormals(pclScan, scanCloudNormalK_);
pcl::PointCloud<pcl::Normal>::Ptr normals = util3d::computeNormals(pclScan, scanCloudNormalK_, scanCloudNormalRadius_);
pcl::PointCloud<pcl::PointNormal>::Ptr pclScanNormal(new pcl::PointCloud<pcl::PointNormal>);
pcl::concatenateFields(*pclScan, *normals, *pclScanNormal);
scan = util3d::laserScanFromPointCloud(*pclScanNormal);
@@ -402,6 +415,7 @@ private:
int queueSize_;
int scanCloudMaxPoints_;
int scanCloudNormalK_;
float scanCloudNormalRadius_;
};
PLUGINLIB_EXPORT_CLASS(rtabmap_ros::RGBDICPOdometry, nodelet::Nodelet);