mirror of
https://github.com/introlab/rtabmap_ros.git
synced 2026-10-04 08:47:45 +08:00
rtabmap: scan_cloud_normal_k and scan_normal_radius removed. odometry: added guess_min_translation, guess_min_rotation and scan_voxel_size parameters. data_recorder.launch: updated to support rgbd_image and scan_cloud inputs.
This commit is contained in:
+13
-32
@@ -102,8 +102,6 @@ CoreWrapper::CoreWrapper() :
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genScanMaxDepth_(4.0),
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genScanMinDepth_(0.0),
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scanCloudMaxPoints_(0),
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scanCloudNormalK_(0),
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scanCloudNormalRadius_(0.0f),
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mapToOdom_(rtabmap::Transform::getIdentity()),
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transformThread_(0),
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tfThreadRunning_(false),
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@@ -162,14 +160,16 @@ void CoreWrapper::onInit()
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pnh.param("gen_scan_max_depth", genScanMaxDepth_, genScanMaxDepth_);
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pnh.param("gen_scan_min_depth", genScanMinDepth_, genScanMinDepth_);
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pnh.param("scan_cloud_max_points", scanCloudMaxPoints_, scanCloudMaxPoints_);
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pnh.param("scan_normal_k", scanCloudNormalK_, scanCloudNormalK_);
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if(pnh.hasParam("scan_cloud_normal_k") && !pnh.hasParam("scan_normal_k"))
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if(pnh.hasParam("scan_cloud_normal_k"))
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{
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ROS_WARN("rtabmap: Parameter \"scan_cloud_normal_k\" has been renamed to \"scan_normal_k\". "
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"The value is still used. Use \"scan_normal_k\" to avoid this warning.");
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pnh.param("scan_cloud_normal_k", scanCloudNormalK_, scanCloudNormalK_);
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ROS_WARN("rtabmap: Parameter \"scan_cloud_normal_k\" has been removed. RTAB-Map's parameter \"%s\" should be used instead. "
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"The value is copied. Use \"%s\" to avoid this warning.",
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Parameters::kMemLaserScanNormalK().c_str(),
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Parameters::kMemLaserScanNormalK().c_str());
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double value;
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pnh.getParam("scan_cloud_normal_k", value);
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uInsert(parameters_, ParametersPair(Parameters::kMemLaserScanNormalK(), uNumber2Str(value)));
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}
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pnh.param("scan_normal_radius", scanCloudNormalRadius_, scanCloudNormalRadius_);
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pnh.param("stereo_to_depth", stereoToDepth_, stereoToDepth_);
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pnh.param("odom_sensor_sync", odomSensorSync_, odomSensorSync_);
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if(pnh.hasParam("flip_scan"))
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@@ -996,18 +996,7 @@ void CoreWrapper::commonDepthCallbackImpl(
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genScanMaxDepth_,
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genScanMinDepth_);
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genMaxScanPts += depth.cols;
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if(scanCloudNormalK_ > 0 || scanCloudNormalRadius_>0.0f)
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{
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//compute normals
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pcl::PointCloud<pcl::Normal>::Ptr normals = rtabmap::util3d::computeFastOrganizedNormals2D(scanCloud2d, scanCloudNormalK_, scanCloudNormalRadius_);
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pcl::PointCloud<pcl::PointNormal>::Ptr pclScanNormal(new pcl::PointCloud<pcl::PointNormal>);
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pcl::concatenateFields(*scanCloud2d, *normals, *pclScanNormal);
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scan = rtabmap::util3d::laserScan2dFromPointCloud(*pclScanNormal);
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}
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else
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{
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scan = rtabmap::util3d::laserScan2dFromPointCloud(*scanCloud2d);
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}
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scan = rtabmap::util3d::laserScan2dFromPointCloud(*scanCloud2d);
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}
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else if(scan2dMsg.get() != 0)
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{
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@@ -1019,9 +1008,7 @@ void CoreWrapper::commonDepthCallbackImpl(
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scan,
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scanLocalTransform,
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tfListener_,
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waitForTransform_?waitForTransformDuration_:0,
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scanCloudNormalK_,
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scanCloudNormalRadius_))
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waitForTransform_?waitForTransformDuration_:0))
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{
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NODELET_ERROR("Could not convert laser scan msg! Aborting rtabmap update...");
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return;
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@@ -1050,9 +1037,7 @@ void CoreWrapper::commonDepthCallbackImpl(
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scan,
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scanLocalTransform,
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tfListener_,
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waitForTransform_?waitForTransformDuration_:0,
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scanCloudNormalK_,
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scanCloudNormalRadius_))
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waitForTransform_?waitForTransformDuration_:0))
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{
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NODELET_ERROR("Could not convert 3d laser scan msg! Aborting rtabmap update...");
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return;
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@@ -1262,9 +1247,7 @@ void CoreWrapper::commonStereoCallback(
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scan,
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scanLocalTransform,
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tfListener_,
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waitForTransform_?waitForTransformDuration_:0,
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scanCloudNormalK_,
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scanCloudNormalRadius_))
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waitForTransform_?waitForTransformDuration_:0))
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{
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NODELET_ERROR("Could not convert laser scan msg! Aborting rtabmap update...");
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return;
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@@ -1293,9 +1276,7 @@ void CoreWrapper::commonStereoCallback(
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scan,
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scanLocalTransform,
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tfListener_,
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waitForTransform_?waitForTransformDuration_:0,
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scanCloudNormalK_,
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scanCloudNormalRadius_))
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waitForTransform_?waitForTransformDuration_:0))
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{
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NODELET_ERROR("Could not convert 3d laser scan msg! Aborting rtabmap update...");
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return;
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+6
-43
@@ -1360,9 +1360,7 @@ bool convertScanMsg(
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cv::Mat & scan,
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rtabmap::Transform & scanLocalTransform,
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tf::TransformListener & listener,
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double waitForTransform,
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int scanCloudNormalK,
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float scanCloudNormalRadius)
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double waitForTransform)
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{
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// make sure the frame of the laser is updated too
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rtabmap::Transform tmpT = getTransform(
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@@ -1393,6 +1391,7 @@ bool convertScanMsg(
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projection.transformLaserScanToPointCloud(odomFrameId.empty()?frameId:odomFrameId, *scan2dMsg, scanOut, listener);
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pcl::PointCloud<pcl::PointXYZ>::Ptr pclScan(new pcl::PointCloud<pcl::PointXYZ>);
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pcl::fromROSMsg(scanOut, *pclScan);
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pclScan->is_dense = true;
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//transform back in laser frame
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rtabmap::Transform laserToOdom = getTransform(
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@@ -1428,19 +1427,7 @@ bool convertScanMsg(
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}
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}
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if(scanCloudNormalK > 0 || scanCloudNormalRadius>0.0f)
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{
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//compute normals
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pcl::PointCloud<pcl::Normal>::Ptr normals = rtabmap::util3d::computeFastOrganizedNormals2D(pclScan, scanCloudNormalK, scanCloudNormalRadius);
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pcl::PointCloud<pcl::PointNormal>::Ptr pclScanNormal(new pcl::PointCloud<pcl::PointNormal>);
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pcl::concatenateFields(*pclScan, *normals, *pclScanNormal);
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scan = rtabmap::util3d::laserScan2dFromPointCloud(*pclScanNormal, laserToOdom); // put back in laser frame
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}
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else
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{
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scan = rtabmap::util3d::laserScan2dFromPointCloud(*pclScan, laserToOdom); // put back in laser frame
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}
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scan = rtabmap::util3d::laserScan2dFromPointCloud(*pclScan, laserToOdom); // put back in laser frame
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return true;
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}
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@@ -1453,9 +1440,7 @@ bool convertScan3dMsg(
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cv::Mat & scan,
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rtabmap::Transform & scanLocalTransform,
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tf::TransformListener & listener,
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double waitForTransform,
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int scanCloudNormalK,
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float scanCloudNormalRadius)
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double waitForTransform)
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{
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bool containNormals = false;
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bool containColors = false;
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@@ -1533,18 +1518,7 @@ bool convertScan3dMsg(
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pclScan = rtabmap::util3d::removeNaNFromPointCloud(pclScan);
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}
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if(scanCloudNormalK > 0 || scanCloudNormalRadius>0.0f)
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{
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//compute normals
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pcl::PointCloud<pcl::Normal>::Ptr normals = rtabmap::util3d::computeNormals(pclScan, scanCloudNormalK, scanCloudNormalRadius);
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pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr pclScanNormal(new pcl::PointCloud<pcl::PointXYZRGBNormal>);
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pcl::concatenateFields(*pclScan, *normals, *pclScanNormal);
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scan = rtabmap::util3d::laserScanFromPointCloud(*rtabmap::util3d::removeNaNNormalsFromPointCloud(pclScanNormal));
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}
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else
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{
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scan = rtabmap::util3d::laserScanFromPointCloud(*pclScan);
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}
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scan = rtabmap::util3d::laserScanFromPointCloud(*pclScan);
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}
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else
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{
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@@ -1555,18 +1529,7 @@ bool convertScan3dMsg(
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pclScan = rtabmap::util3d::removeNaNFromPointCloud(pclScan);
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}
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if(scanCloudNormalK > 0 || scanCloudNormalRadius>0.0f)
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{
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//compute normals
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pcl::PointCloud<pcl::Normal>::Ptr normals = rtabmap::util3d::computeNormals(pclScan, scanCloudNormalK, scanCloudNormalRadius);
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pcl::PointCloud<pcl::PointNormal>::Ptr pclScanNormal(new pcl::PointCloud<pcl::PointNormal>);
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pcl::concatenateFields(*pclScan, *normals, *pclScanNormal);
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scan = rtabmap::util3d::laserScanFromPointCloud(*rtabmap::util3d::removeNaNNormalsFromPointCloud(pclScanNormal));
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}
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else
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{
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scan = rtabmap::util3d::laserScanFromPointCloud(*pclScan);
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}
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scan = rtabmap::util3d::laserScanFromPointCloud(*pclScan);
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}
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}
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return true;
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@@ -49,6 +49,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#include "rtabmap/utilite/ULogger.h"
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#include "rtabmap/utilite/UStl.h"
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#include "rtabmap/utilite/UFile.h"
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#include "rtabmap/utilite/UMath.h"
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#define BAD_COVARIANCE 9999
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@@ -65,6 +66,8 @@ OdometryROS::OdometryROS(bool stereoParams, bool visParams, bool icpParams) :
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groundTruthFrameId_(""),
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groundTruthBaseFrameId_(""),
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guessFrameId_(""),
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guessMinTranslation_(0.0),
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guessMinRotation_(0.0),
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publishTf_(true),
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waitForTransform_(true),
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waitForTransformDuration_(0.1), // 100 ms
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@@ -139,6 +142,8 @@ void OdometryROS::onInit()
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}
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}
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pnh.param("guess_frame_id", guessFrameId_, guessFrameId_); // odometry guess frame
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pnh.param("guess_min_translation", guessMinTranslation_, guessMinTranslation_);
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pnh.param("guess_min_rotation", guessMinRotation_, guessMinRotation_);
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if(publishTf_ && !guessFrameId_.empty() && guessFrameId_.compare(odomFrameId_) == 0)
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{
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@@ -147,6 +152,19 @@ void OdometryROS::onInit()
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"are the same frame (value=\"%s\"). \"guess_frame_id\" is disabled.", odomFrameId_.c_str());
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guessFrameId_.clear();
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}
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NODELET_INFO("Odometry: frame_id = %s", frameId_.c_str());
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NODELET_INFO("Odometry: odom_frame_id = %s", odomFrameId_.c_str());
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NODELET_INFO("Odometry: publish_tf = %s", publishTf_?"true":"false");
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NODELET_INFO("Odometry: wait_for_transform = %s", waitForTransform_?"true":"false");
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NODELET_INFO("Odometry: wait_for_transform_duration = %f", waitForTransformDuration_);
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NODELET_INFO("Odometry: initial_pose = %s", initialPose.prettyPrint().c_str());
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NODELET_INFO("Odometry: ground_truth_frame_id = %s", groundTruthFrameId_.c_str());
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NODELET_INFO("Odometry: ground_truth_base_frame_id = %s", groundTruthBaseFrameId_.c_str());
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NODELET_INFO("Odometry: config_path = %s", configPath.c_str());
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NODELET_INFO("Odometry: publish_null_when_lost = %s", publishNullWhenLost_?"true":"false");
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NODELET_INFO("Odometry: guess_frame_id = %s", guessFrameId_.c_str());
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NODELET_INFO("Odometry: guess_min_translation = %f", guessMinTranslation_);
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NODELET_INFO("Odometry: guess_min_rotation = %f", guessMinRotation_);
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configPath = uReplaceChar(configPath, '~', UDirectory::homeDir());
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if(configPath.size() && configPath.at(0) != '/')
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@@ -388,6 +406,28 @@ void OdometryROS::processData(const SensorData & data, const ros::Time & stamp)
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if(!previousPose.isNull() && !guessCurrentPose.isNull())
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{
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guess = previousPose.inverse() * guessCurrentPose;
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if(odometry_->previousStamp()>0.0 && (guessMinTranslation_ > 0.0 || guessMinRotation_ > 0.0))
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{
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float x,y,z,roll,pitch,yaw;
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guess.getTranslationAndEulerAngles(x,y,z,roll,pitch,yaw);
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if((guessMinTranslation_ <= 0.0 || uMax3(fabs(x), fabs(y), fabs(z)) < guessMinTranslation_) &&
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(guessMinRotation_ <= 0.0 || uMax3(fabs(roll), fabs(pitch), fabs(yaw)) < guessMinRotation_))
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{
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// Ignore odometry update, we didn't move enough
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if(publishTf_)
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{
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geometry_msgs::TransformStamped correctionMsg;
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correctionMsg.child_frame_id = guessFrameId_;
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correctionMsg.header.frame_id = odomFrameId_;
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correctionMsg.header.stamp = stamp;
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Transform correction = odometry_->getPose() * guess * guessCurrentPose.inverse();
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rtabmap_ros::transformToGeometryMsg(correction, correctionMsg.transform);
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tfBroadcaster_.sendTransform(correctionMsg);
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}
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return;
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}
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}
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}
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else
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{
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@@ -58,8 +58,9 @@ public:
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ICPOdometry() :
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OdometryROS(false, false, true),
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scanCloudMaxPoints_(0),
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scanCloudNormalK_(0),
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scanCloudNormalRadius_(0.0f)
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scanVoxelSize_(0.0f),
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scanNormalK_(0),
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scanNormalRadius_(0.0f)
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{
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}
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@@ -75,14 +76,20 @@ private:
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ros::NodeHandle & pnh = getPrivateNodeHandle();
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pnh.param("scan_cloud_max_points", scanCloudMaxPoints_, scanCloudMaxPoints_);
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pnh.param("scan_normal_k", scanCloudNormalK_, scanCloudNormalK_);
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pnh.param("scan_voxel_size", scanVoxelSize_, scanVoxelSize_);
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pnh.param("scan_normal_k", scanNormalK_, scanNormalK_);
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if(pnh.hasParam("scan_cloud_normal_k") && !pnh.hasParam("scan_normal_k"))
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{
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ROS_WARN("rtabmap: Parameter \"scan_cloud_normal_k\" has been renamed to \"scan_normal_k\". "
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"The value is still used. Use \"scan_normal_k\" to avoid this warning.");
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pnh.param("scan_cloud_normal_k", scanCloudNormalK_, scanCloudNormalK_);
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pnh.param("scan_cloud_normal_k", scanNormalK_, scanNormalK_);
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}
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pnh.param("scan_normal_radius", scanCloudNormalRadius_, scanCloudNormalRadius_);
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pnh.param("scan_normal_radius", scanNormalRadius_, scanNormalRadius_);
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NODELET_INFO("IcpOdometry: scan_cloud_max_points = %d", scanCloudMaxPoints_);
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NODELET_INFO("IcpOdometry: scan_voxel_size = %f", scanVoxelSize_);
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NODELET_INFO("IcpOdometry: scan_normal_k = %d", scanNormalK_);
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NODELET_INFO("IcpOdometry: scan_normal_radius = %f", scanNormalRadius_);
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scan_sub_ = nh.subscribe("scan", 1, &ICPOdometry::callbackScan, this);
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cloud_sub_ = nh.subscribe("scan_cloud", 1, &ICPOdometry::callbackCloud, this);
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@@ -117,24 +124,44 @@ private:
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projection.transformLaserScanToPointCloud(scanMsg->header.frame_id, *scanMsg, scanOut, this->tfListener());
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pcl::PointCloud<pcl::PointXYZ>::Ptr pclScan(new pcl::PointCloud<pcl::PointXYZ>);
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pcl::fromROSMsg(scanOut, *pclScan);
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pclScan->is_dense = true;
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cv::Mat scan;
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if(scanCloudNormalK_ > 0 || scanCloudNormalRadius_>0.0f)
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int maxLaserScans = (int)scanMsg->ranges.size();
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if(pclScan->size())
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{
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//compute normals
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pcl::PointCloud<pcl::Normal>::Ptr normals = util3d::computeFastOrganizedNormals2D(pclScan, scanCloudNormalK_, scanCloudNormalRadius_);
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pcl::PointCloud<pcl::PointNormal>::Ptr pclScanNormal(new pcl::PointCloud<pcl::PointNormal>);
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pcl::concatenateFields(*pclScan, *normals, *pclScanNormal);
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scan = util3d::laserScan2dFromPointCloud(*pclScanNormal);
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}
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else
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{
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scan = util3d::laserScan2dFromPointCloud(*pclScan);
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if(scanVoxelSize_ > 0.0f)
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{
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float pointsBeforeFiltering = (float)pclScan->size();
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pclScan = util3d::voxelize(pclScan, scanVoxelSize_);
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float ratio = float(pclScan->size()) / pointsBeforeFiltering;
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maxLaserScans = int(float(maxLaserScans) * ratio);
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}
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if(scanNormalK_ > 0 || scanNormalRadius_>0.0f)
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{
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//compute normals
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pcl::PointCloud<pcl::Normal>::Ptr normals;
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if(scanVoxelSize_ > 0.0f)
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{
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normals = util3d::computeNormals2D(pclScan, scanNormalK_, scanNormalRadius_);
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}
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else
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{
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normals = util3d::computeFastOrganizedNormals2D(pclScan, scanNormalK_, scanNormalRadius_);
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}
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pcl::PointCloud<pcl::PointNormal>::Ptr pclScanNormal(new pcl::PointCloud<pcl::PointNormal>);
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pcl::concatenateFields(*pclScan, *normals, *pclScanNormal);
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scan = util3d::laserScan2dFromPointCloud(*pclScanNormal);
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}
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else
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{
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scan = util3d::laserScan2dFromPointCloud(*pclScan);
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}
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}
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rtabmap::SensorData data(
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scan,
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LaserScanInfo((int)scanMsg->ranges.size(), scanMsg->range_max, localScanTransform),
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LaserScanInfo(maxLaserScans, scanMsg->range_max, localScanTransform),
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cv::Mat(),
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cv::Mat(),
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CameraModel(),
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@@ -148,12 +175,15 @@ private:
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{
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cv::Mat scan;
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bool containNormals = false;
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for(unsigned int i=0; i<cloudMsg->fields.size(); ++i)
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if(scanVoxelSize_ == 0.0f)
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{
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if(cloudMsg->fields[i].name.compare("normal_x") == 0)
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for(unsigned int i=0; i<cloudMsg->fields.size(); ++i)
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{
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containNormals = true;
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break;
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if(cloudMsg->fields[i].name.compare("normal_x") == 0)
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{
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containNormals = true;
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break;
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}
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}
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}
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@@ -164,6 +194,7 @@ private:
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return;
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}
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int maxLaserScans = scanCloudMaxPoints_;
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if(containNormals)
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{
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||||
pcl::PointCloud<pcl::PointNormal>::Ptr pclScan(new pcl::PointCloud<pcl::PointNormal>);
|
||||
@@ -183,23 +214,33 @@ private:
|
||||
pclScan = util3d::removeNaNFromPointCloud(pclScan);
|
||||
}
|
||||
|
||||
if(scanCloudNormalK_ > 0 || scanCloudNormalRadius_>0.0f)
|
||||
if(pclScan->size())
|
||||
{
|
||||
//compute normals
|
||||
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);
|
||||
}
|
||||
else
|
||||
{
|
||||
scan = util3d::laserScanFromPointCloud(*pclScan);
|
||||
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(
|
||||
scan,
|
||||
LaserScanInfo(scanCloudMaxPoints_, 0, localScanTransform),
|
||||
LaserScanInfo(maxLaserScans, 0, localScanTransform),
|
||||
cv::Mat(),
|
||||
cv::Mat(),
|
||||
CameraModel(),
|
||||
@@ -219,8 +260,9 @@ private:
|
||||
ros::Subscriber scan_sub_;
|
||||
ros::Subscriber cloud_sub_;
|
||||
int scanCloudMaxPoints_;
|
||||
int scanCloudNormalK_;
|
||||
float scanCloudNormalRadius_;
|
||||
float scanVoxelSize_;
|
||||
int scanNormalK_;
|
||||
float scanNormalRadius_;
|
||||
};
|
||||
|
||||
PLUGINLIB_EXPORT_CLASS(rtabmap_ros::ICPOdometry, nodelet::Nodelet);
|
||||
|
||||
@@ -117,6 +117,11 @@ private:
|
||||
NODELET_FATAL("Only 2 cameras maximum supported yet.");
|
||||
}
|
||||
|
||||
NODELET_INFO("RGBDOdometry: approx_sync = %s", approxSync?"true":"false");
|
||||
NODELET_INFO("RGBDOdometry: queue_size = %d", queueSize_);
|
||||
NODELET_INFO("RGBDOdometry: subscribe_rgbd = %s", subscribeRGBD?"true":"false");
|
||||
NODELET_INFO("RGBDOdometry: rgbd_cameras = %d", rgbdCameras);
|
||||
|
||||
std::string subscribedTopicsMsg;
|
||||
if(subscribeRGBD)
|
||||
{
|
||||
|
||||
@@ -74,8 +74,9 @@ public:
|
||||
exactCloudSync_(0),
|
||||
queueSize_(5),
|
||||
scanCloudMaxPoints_(0),
|
||||
scanCloudNormalK_(0),
|
||||
scanCloudNormalRadius_(0.0f)
|
||||
scanVoxelSize_(0.0f),
|
||||
scanNormalK_(0),
|
||||
scanNormalRadius_(0.0f)
|
||||
{
|
||||
}
|
||||
|
||||
@@ -112,14 +113,23 @@ private:
|
||||
pnh.param("queue_size", queueSize_, queueSize_);
|
||||
pnh.param("subscribe_scan_cloud", subscribeScanCloud, subscribeScanCloud);
|
||||
pnh.param("scan_cloud_max_points", scanCloudMaxPoints_, scanCloudMaxPoints_);
|
||||
pnh.param("scan_normal_k", scanCloudNormalK_, scanCloudNormalK_);
|
||||
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", scanCloudNormalK_, scanCloudNormalK_);
|
||||
pnh.param("scan_cloud_normal_k", scanNormalK_, scanNormalK_);
|
||||
}
|
||||
pnh.param("scan_normal_radius", scanCloudNormalRadius_, scanCloudNormalRadius_);
|
||||
pnh.param("scan_normal_radius", scanNormalRadius_, scanNormalRadius_);
|
||||
|
||||
NODELET_INFO("RGBDIcpOdometry: approx_sync = %s", approxSync?"true":"false");
|
||||
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_);
|
||||
|
||||
ros::NodeHandle rgb_nh(nh, "rgb");
|
||||
ros::NodeHandle depth_nh(nh, "depth");
|
||||
@@ -193,16 +203,6 @@ private:
|
||||
uInsert(parameters, ParametersPair(Parameters::kRegStrategy(), "2"));
|
||||
}
|
||||
|
||||
void callback(
|
||||
const sensor_msgs::ImageConstPtr& image,
|
||||
const sensor_msgs::ImageConstPtr& depth,
|
||||
const sensor_msgs::CameraInfoConstPtr& cameraInfo)
|
||||
{
|
||||
sensor_msgs::LaserScanConstPtr scanMsg;
|
||||
sensor_msgs::PointCloud2ConstPtr cloudMsg;
|
||||
callbackCommon(image, depth, cameraInfo, scanMsg, cloudMsg);
|
||||
}
|
||||
|
||||
void callbackScan(
|
||||
const sensor_msgs::ImageConstPtr& image,
|
||||
const sensor_msgs::ImageConstPtr& depth,
|
||||
@@ -282,6 +282,7 @@ private:
|
||||
|
||||
cv::Mat scan;
|
||||
Transform localScanTransform = Transform::getIdentity();
|
||||
int maxLaserScans = 0;
|
||||
if(scanMsg.get() != 0)
|
||||
{
|
||||
// make sure the frame of the laser is updated too
|
||||
@@ -300,29 +301,52 @@ private:
|
||||
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;
|
||||
|
||||
if(scanCloudNormalK_ > 0 || scanCloudNormalRadius_>0.0f)
|
||||
maxLaserScans = (int)scanMsg->ranges.size();
|
||||
if(pclScan->size())
|
||||
{
|
||||
//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::laserScan2dFromPointCloud(*pclScanNormal);
|
||||
}
|
||||
else
|
||||
{
|
||||
scan = util3d::laserScan2dFromPointCloud(*pclScan);
|
||||
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)
|
||||
{
|
||||
bool containNormals = false;
|
||||
for(unsigned int i=0; i<cloudMsg->fields.size(); ++i)
|
||||
if(scanVoxelSize_ == 0.0f)
|
||||
{
|
||||
if(cloudMsg->fields[i].name.compare("normal_x") == 0)
|
||||
for(unsigned int i=0; i<cloudMsg->fields.size(); ++i)
|
||||
{
|
||||
containNormals = true;
|
||||
break;
|
||||
if(cloudMsg->fields[i].name.compare("normal_x") == 0)
|
||||
{
|
||||
containNormals = true;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
localScanTransform = getTransform(this->frameId(), cloudMsg->header.frame_id, cloudMsg->header.stamp);
|
||||
@@ -332,6 +356,7 @@ private:
|
||||
return;
|
||||
}
|
||||
|
||||
maxLaserScans = scanCloudMaxPoints_;
|
||||
if(containNormals)
|
||||
{
|
||||
pcl::PointCloud<pcl::PointNormal>::Ptr pclScan(new pcl::PointCloud<pcl::PointNormal>);
|
||||
@@ -351,17 +376,27 @@ private:
|
||||
pclScan = util3d::removeNaNFromPointCloud(pclScan);
|
||||
}
|
||||
|
||||
if(scanCloudNormalK_ > 0 || scanCloudNormalRadius_>0.0f)
|
||||
if(pclScan->size())
|
||||
{
|
||||
//compute normals
|
||||
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);
|
||||
}
|
||||
else
|
||||
{
|
||||
scan = util3d::laserScanFromPointCloud(*pclScan);
|
||||
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);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -369,7 +404,7 @@ private:
|
||||
rtabmap::SensorData data(
|
||||
scan,
|
||||
LaserScanInfo(
|
||||
scanMsg.get() != 0?(int)scanMsg->ranges.size():cloudMsg.get() != 0?scanCloudMaxPoints_:0,
|
||||
scanMsg.get() != 0 || cloudMsg.get() != 0?maxLaserScans:0,
|
||||
scanMsg.get() != 0?scanMsg->range_max:0,
|
||||
localScanTransform),
|
||||
ptrImage->image,
|
||||
@@ -429,8 +464,9 @@ private:
|
||||
message_filters::Synchronizer<MyExactCloudSyncPolicy> * exactCloudSync_;
|
||||
int queueSize_;
|
||||
int scanCloudMaxPoints_;
|
||||
int scanCloudNormalK_;
|
||||
float scanCloudNormalRadius_;
|
||||
float scanVoxelSize_;
|
||||
int scanNormalK_;
|
||||
float scanNormalRadius_;
|
||||
};
|
||||
|
||||
PLUGINLIB_EXPORT_CLASS(rtabmap_ros::RGBDICPOdometry, nodelet::Nodelet);
|
||||
|
||||
@@ -88,6 +88,9 @@ private:
|
||||
pnh.param("approx_sync", approxSync, approxSync);
|
||||
pnh.param("queue_size", queueSize_, queueSize_);
|
||||
|
||||
NODELET_INFO("StereoOdometry: approx_sync = %s", approxSync?"true":"false");
|
||||
NODELET_INFO("StereoOdometry: queue_size = %d", queueSize_);
|
||||
|
||||
ros::NodeHandle left_nh(nh, "left");
|
||||
ros::NodeHandle right_nh(nh, "right");
|
||||
ros::NodeHandle left_pnh(pnh, "left");
|
||||
|
||||
Reference in New Issue
Block a user