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https://github.com/introlab/rtabmap_ros.git
synced 2026-10-03 16:27:46 +08:00
Updated point_cloud_aggregator to transform clouds in same frame
This commit is contained in:
@@ -7,6 +7,8 @@
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#include <pcl/point_types.h>
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#include <pcl/point_types.h>
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#include <pcl_conversions/pcl_conversions.h>
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#include <pcl_conversions/pcl_conversions.h>
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#include <pcl_ros/transforms.h>
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#include <tf/transform_listener.h>
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#include <tf/transform_listener.h>
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#include <sensor_msgs/PointCloud2.h>
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#include <sensor_msgs/PointCloud2.h>
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@@ -26,12 +28,12 @@ namespace rtabmap_ros
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class PointCloudAggregator : public nodelet::Nodelet
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class PointCloudAggregator : public nodelet::Nodelet
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{
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{
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public:
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public:
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PointCloudAggregator() : sync(NULL)
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PointCloudAggregator() : sync_(NULL)
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{}
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{}
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virtual ~PointCloudAggregator()
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virtual ~PointCloudAggregator()
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{
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{
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if (sync!=NULL) delete sync;
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if (sync_!=NULL) delete sync_;
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}
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}
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private:
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private:
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@@ -41,16 +43,35 @@ private:
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{
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{
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if(cloudPub_.getNumSubscribers())
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if(cloudPub_.getNumSubscribers())
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{
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{
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pcl::PointCloud<pcl::PointXYZ> cloud1, cloud2, cloud3;
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pcl::fromROSMsg(*cloudMsg_1, cloud1);
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pcl::fromROSMsg(*cloudMsg_1, cloud1);
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std::string frameId = frameId_;
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if(!frameId.empty() && frameId.compare(cloudMsg_1->header.frame_id) != 0)
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{
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pcl_ros::transformPointCloud(frameId, cloud1, cloud1, tfListener_);
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}
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else
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{
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frameId = cloudMsg_1->header.frame_id;
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}
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pcl::fromROSMsg(*cloudMsg_2, cloud2);
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pcl::fromROSMsg(*cloudMsg_2, cloud2);
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if(frameId.compare(cloudMsg_2->header.frame_id) != 0)
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{
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pcl_ros::transformPointCloud(frameId, cloud2, cloud2, tfListener_);
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}
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pcl::fromROSMsg(*cloudMsg_3, cloud3);
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pcl::fromROSMsg(*cloudMsg_3, cloud3);
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if(frameId.compare(cloudMsg_3->header.frame_id) != 0)
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{
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pcl_ros::transformPointCloud(frameId, cloud3, cloud3, tfListener_);
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}
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pcl::PointCloud<pcl::PointXYZ> totalCloud;
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pcl::PointCloud<pcl::PointXYZ> totalCloud;
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totalCloud = cloud1 + cloud2;
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totalCloud = cloud1 + cloud2;
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totalCloud += cloud3;
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totalCloud += cloud3;
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sensor_msgs::PointCloud2 rosCloud;
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sensor_msgs::PointCloud2 rosCloud;
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pcl::toROSMsg(totalCloud, rosCloud);
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pcl::toROSMsg(totalCloud, rosCloud);
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rosCloud.header.stamp = cloudMsg_1->header.stamp;
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rosCloud.header.stamp = cloudMsg_1->header.stamp;
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rosCloud.header.frame_id = cloudMsg_1->header.frame_id;
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rosCloud.header.frame_id = frameId;
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cloudPub_.publish(rosCloud);
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cloudPub_.publish(rosCloud);
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}
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}
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}
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}
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@@ -63,24 +84,27 @@ private:
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int queueSize = 5;
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int queueSize = 5;
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pnh.param("queue_size", queueSize, queueSize);
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pnh.param("queue_size", queueSize, queueSize);
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pnh.param("frame_id", frameId_, frameId_);
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cloudSub_1_.subscribe(nh, "cloud1", 1);
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cloudSub_1_.subscribe(nh, "cloud1", 1);
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cloudSub_2_.subscribe(nh, "cloud2", 1);
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cloudSub_2_.subscribe(nh, "cloud2", 1);
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cloudSub_3_.subscribe(nh, "cloud3", 1);
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cloudSub_3_.subscribe(nh, "cloud3", 1);
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sync = new message_filters::Synchronizer<MySyncPolicy>(MySyncPolicy(queueSize), cloudSub_1_, cloudSub_2_, cloudSub_3_);
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sync_ = new message_filters::Synchronizer<MySyncPolicy>(MySyncPolicy(queueSize), cloudSub_1_, cloudSub_2_, cloudSub_3_);
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sync->registerCallback(boost::bind(&rtabmap_ros::PointCloudAggregator::clouds_callback, this, _1, _2, _3));
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sync_->registerCallback(boost::bind(&rtabmap_ros::PointCloudAggregator::clouds_callback, this, _1, _2, _3));
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cloudPub_ = nh.advertise<sensor_msgs::PointCloud2>("combined_cloud", 1);
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cloudPub_ = nh.advertise<sensor_msgs::PointCloud2>("combined_cloud", 1);
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}
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}
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message_filters::Synchronizer<MySyncPolicy>* sync;
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message_filters::Synchronizer<MySyncPolicy>* sync_;
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message_filters::Subscriber<sensor_msgs::PointCloud2> cloudSub_1_;
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message_filters::Subscriber<sensor_msgs::PointCloud2> cloudSub_1_;
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message_filters::Subscriber<sensor_msgs::PointCloud2> cloudSub_2_;
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message_filters::Subscriber<sensor_msgs::PointCloud2> cloudSub_2_;
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message_filters::Subscriber<sensor_msgs::PointCloud2> cloudSub_3_;
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message_filters::Subscriber<sensor_msgs::PointCloud2> cloudSub_3_;
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pcl::PointCloud<pcl::PointXYZ> cloud1, cloud2, cloud3;
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ros::Publisher cloudPub_;
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ros::Publisher cloudPub_;
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std::string frameId_;
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tf::TransformListener tfListener_;
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};
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};
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PLUGINLIB_EXPORT_CLASS(rtabmap_ros::PointCloudAggregator, nodelet::Nodelet);
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PLUGINLIB_EXPORT_CLASS(rtabmap_ros::PointCloudAggregator, nodelet::Nodelet);
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