mirror of
https://github.com/introlab/rtabmap_ros.git
synced 2026-10-03 16:27:46 +08:00
Added point_cloud_aggregator node
This commit is contained in:
+8
-1
@@ -220,7 +220,7 @@ SET(rtabmap_plugins_lib_src
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src/nodelets/pointcloud_to_depthimage.cpp
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src/nodelets/pointcloud_to_depthimage.cpp
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src/nodelets/obstacles_detection.cpp
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src/nodelets/obstacles_detection.cpp
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# src/nodelets/obstacles_detection_old.cpp
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# src/nodelets/obstacles_detection_old.cpp
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# src/nodelets/point_cloud_aggregator.cpp
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src/nodelets/point_cloud_aggregator.cpp
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# src/nodelets/point_cloud_assembler.cpp
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# src/nodelets/point_cloud_assembler.cpp
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# src/nodelets/undistort_depth.cpp
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# src/nodelets/undistort_depth.cpp
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# src/nodelets/imu_to_tf.cpp
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# src/nodelets/imu_to_tf.cpp
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@@ -284,6 +284,7 @@ rclcpp_components_register_nodes(rtabmap_plugins "rtabmap_ros::PointCloudXYZ")
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rclcpp_components_register_nodes(rtabmap_plugins "rtabmap_ros::PointCloudXYZRGB")
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rclcpp_components_register_nodes(rtabmap_plugins "rtabmap_ros::PointCloudXYZRGB")
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rclcpp_components_register_nodes(rtabmap_plugins "rtabmap_ros::PointCloudToDepthImage")
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rclcpp_components_register_nodes(rtabmap_plugins "rtabmap_ros::PointCloudToDepthImage")
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rclcpp_components_register_nodes(rtabmap_plugins "rtabmap_ros::ObstaclesDetection")
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rclcpp_components_register_nodes(rtabmap_plugins "rtabmap_ros::ObstaclesDetection")
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rclcpp_components_register_nodes(rtabmap_plugins "rtabmap_ros::PointCloudAggregator")
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rclcpp_components_register_nodes(rtabmap_sync "rtabmap_ros::CoreWrapper")
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rclcpp_components_register_nodes(rtabmap_sync "rtabmap_ros::CoreWrapper")
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@@ -340,6 +341,11 @@ ament_target_dependencies(rtabmap_obstacles_detection ${Libraries})
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target_link_libraries(rtabmap_obstacles_detection rtabmap_plugins ${RTABMap_LIBRARIES})
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target_link_libraries(rtabmap_obstacles_detection rtabmap_plugins ${RTABMap_LIBRARIES})
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set_target_properties(rtabmap_obstacles_detection PROPERTIES OUTPUT_NAME "obstacles_detection")
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set_target_properties(rtabmap_obstacles_detection PROPERTIES OUTPUT_NAME "obstacles_detection")
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add_executable(rtabmap_point_cloud_aggregator src/PointCloudAggregatorNode.cpp)
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ament_target_dependencies(rtabmap_point_cloud_aggregator ${Libraries})
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target_link_libraries(rtabmap_point_cloud_aggregator rtabmap_plugins ${RTABMap_LIBRARIES})
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set_target_properties(rtabmap_point_cloud_aggregator PROPERTIES OUTPUT_NAME "point_cloud_aggregator")
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#add_executable(rtabmap_map_optimizer src/MapOptimizerNode.cpp)
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#add_executable(rtabmap_map_optimizer src/MapOptimizerNode.cpp)
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#ament_target_dependencies(rtabmap_map_optimizer rtabmap_ros)
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#ament_target_dependencies(rtabmap_map_optimizer rtabmap_ros)
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#set_target_properties(rtabmap_map_optimizer PROPERTIES OUTPUT_NAME "map_optimizer")
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#set_target_properties(rtabmap_map_optimizer PROPERTIES OUTPUT_NAME "map_optimizer")
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@@ -572,6 +578,7 @@ install(TARGETS
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rtabmap_point_cloud_xyz
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rtabmap_point_cloud_xyz
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rtabmap_point_cloud_xyzrgb
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rtabmap_point_cloud_xyzrgb
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rtabmap_obstacles_detection
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rtabmap_obstacles_detection
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rtabmap_point_cloud_aggregator
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# rtabmap_camera
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# rtabmap_camera
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rtabmap_rgbd_sync
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rtabmap_rgbd_sync
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rtabmap_stereo_sync
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rtabmap_stereo_sync
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@@ -0,0 +1,102 @@
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/*
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Copyright (c) 2010-2019, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are met:
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||||||
|
* Redistributions of source code must retain the above copyright
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||||||
|
notice, this list of conditions and the following disclaimer.
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||||||
|
* Redistributions in binary form must reproduce the above copyright
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||||||
|
notice, this list of conditions and the following disclaimer in the
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||||||
|
documentation and/or other materials provided with the distribution.
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||||||
|
* Neither the name of the Universite de Sherbrooke nor the
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||||||
|
names of its contributors may be used to endorse or promote products
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||||||
|
derived from this software without specific prior written permission.
|
||||||
|
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||||||
|
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
|
||||||
|
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
|
||||||
|
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
||||||
|
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
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||||||
|
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
|
||||||
|
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
|
||||||
|
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
|
||||||
|
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
||||||
|
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
|
||||||
|
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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||||||
|
*/
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#include <rtabmap_ros/visibility.h>
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#include "rclcpp/rclcpp.hpp"
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#include <sensor_msgs/msg/point_cloud2.hpp>
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#include <tf2_ros/buffer.h>
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#include <tf2_ros/transform_listener.h>
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#include <sensor_msgs/PointCloud2.h>
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#include <message_filters/sync_policies/approximate_time.h>
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#include <message_filters/subscriber.h>
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#include <message_filters/sync_policies/exact_time.h>
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namespace rtabmap_ros
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{
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/**
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* Nodelet used to merge point clouds from different sensors into a single
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* assembled cloud. If fixed_frame_id is set and approx_sync is true,
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* the clouds are adjusted to include the displacement of the robot
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* in the output cloud.
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*/
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class PointCloudAggregator : public rclcpp::Node
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{
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public:
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RTABMAP_ROS_PUBLIC
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explicit PointCloudAggregator(const rclcpp::NodeOptions & options);
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virtual ~PointCloudAggregator();
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private:
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void clouds4_callback(const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_1,
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const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_2,
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const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_3,
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const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_4);
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void clouds3_callback(const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_1,
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const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_2,
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const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_3);
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void clouds2_callback(const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_1,
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const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_2);
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void combineClouds(const std::vector<sensor_msgs::msg::PointCloud2::ConstSharedPtr> & cloudMsgs);
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std::thread * warningThread_;
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bool callbackCalled_;
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typedef message_filters::sync_policies::ExactTime<sensor_msgs::msg::PointCloud2, sensor_msgs::msg::PointCloud2, sensor_msgs::msg::PointCloud2, sensor_msgs::msg::PointCloud2> ExactSync4Policy;
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typedef message_filters::sync_policies::ApproximateTime<sensor_msgs::msg::PointCloud2, sensor_msgs::msg::PointCloud2, sensor_msgs::msg::PointCloud2, sensor_msgs::msg::PointCloud2> ApproxSync4Policy;
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typedef message_filters::sync_policies::ExactTime<sensor_msgs::msg::PointCloud2, sensor_msgs::msg::PointCloud2, sensor_msgs::msg::PointCloud2> ExactSync3Policy;
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typedef message_filters::sync_policies::ApproximateTime<sensor_msgs::msg::PointCloud2, sensor_msgs::msg::PointCloud2, sensor_msgs::msg::PointCloud2> ApproxSync3Policy;
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typedef message_filters::sync_policies::ExactTime<sensor_msgs::msg::PointCloud2, sensor_msgs::msg::PointCloud2> ExactSync2Policy;
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typedef message_filters::sync_policies::ApproximateTime<sensor_msgs::msg::PointCloud2, sensor_msgs::msg::PointCloud2> ApproxSync2Policy;
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message_filters::Synchronizer<ExactSync4Policy>* exactSync4_;
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message_filters::Synchronizer<ApproxSync4Policy>* approxSync4_;
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message_filters::Synchronizer<ExactSync3Policy>* exactSync3_;
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message_filters::Synchronizer<ApproxSync3Policy>* approxSync3_;
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message_filters::Synchronizer<ExactSync2Policy>* exactSync2_;
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message_filters::Synchronizer<ApproxSync2Policy>* approxSync2_;
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message_filters::Subscriber<sensor_msgs::msg::PointCloud2> cloudSub_1_;
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message_filters::Subscriber<sensor_msgs::msg::PointCloud2> cloudSub_2_;
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message_filters::Subscriber<sensor_msgs::msg::PointCloud2> cloudSub_3_;
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message_filters::Subscriber<sensor_msgs::msg::PointCloud2> cloudSub_4_;
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rclcpp::Publisher<sensor_msgs::msg::PointCloud2>::SharedPtr cloudPub_;
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std::string frameId_;
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std::string fixedFrameId_;
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std::shared_ptr<tf2_ros::Buffer> tfBuffer_;
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std::shared_ptr<tf2_ros::TransformListener> tfListener_;
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};
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}
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@@ -0,0 +1,38 @@
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/*
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Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
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||||||
|
All rights reserved.
|
||||||
|
|
||||||
|
Redistribution and use in source and binary forms, with or without
|
||||||
|
modification, are permitted provided that the following conditions are met:
|
||||||
|
* Redistributions of source code must retain the above copyright
|
||||||
|
notice, this list of conditions and the following disclaimer.
|
||||||
|
* Redistributions in binary form must reproduce the above copyright
|
||||||
|
notice, this list of conditions and the following disclaimer in the
|
||||||
|
documentation and/or other materials provided with the distribution.
|
||||||
|
* Neither the name of the Universite de Sherbrooke nor the
|
||||||
|
names of its contributors may be used to endorse or promote products
|
||||||
|
derived from this software without specific prior written permission.
|
||||||
|
|
||||||
|
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
|
||||||
|
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
|
||||||
|
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
||||||
|
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
|
||||||
|
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
|
||||||
|
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
|
||||||
|
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
|
||||||
|
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
||||||
|
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
|
||||||
|
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||||
|
*/
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|
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#include "rtabmap_ros/point_cloud_aggregator.hpp"
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int main(int argc, char **argv)
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{
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rclcpp::init(argc, argv);
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rclcpp::spin(std::make_shared<rtabmap_ros::PointCloudAggregator>(rclcpp::NodeOptions()));
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rclcpp::shutdown();
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return 0;
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}
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@@ -25,44 +25,132 @@ ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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*/
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#include <ros/ros.h>
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#include <rtabmap_ros/point_cloud_aggregator.hpp>
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#include <pluginlib/class_list_macros.h>
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#include <nodelet/nodelet.h>
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#include <pcl/point_cloud.h>
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#include <pcl/point_cloud.h>
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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/io/pcd_io.h>
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#include <pcl_ros/transforms.h>
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#include <tf/transform_listener.h>
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#include <sensor_msgs/PointCloud2.h>
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#include <image_transport/image_transport.h>
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#include <image_transport/subscriber_filter.h>
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#include <message_filters/sync_policies/approximate_time.h>
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#include <message_filters/subscriber.h>
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#include <message_filters/sync_policies/exact_time.h>
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#include <rtabmap_ros/MsgConversion.h>
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#include <rtabmap_ros/MsgConversion.h>
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#include <rtabmap/utilite/UConversion.h>
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#include <rtabmap/utilite/UConversion.h>
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#include <rtabmap/utilite/ULogger.h>
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namespace pcl_ros {
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void
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transformPointCloud (
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const Eigen::Matrix4f &transform,
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const sensor_msgs::msg::PointCloud2 &in,
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sensor_msgs::msg::PointCloud2 &out)
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{
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// Get X-Y-Z indices
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int x_idx = pcl::getFieldIndex (in, "x");
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int y_idx = pcl::getFieldIndex (in, "y");
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int z_idx = pcl::getFieldIndex (in, "z");
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if (x_idx == -1 || y_idx == -1 || z_idx == -1)
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{
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UERROR ("Input dataset has no X-Y-Z coordinates! Cannot convert to Eigen format.");
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return;
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}
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if (in.fields[x_idx].datatype != sensor_msgs::PointField::FLOAT32 ||
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in.fields[y_idx].datatype != sensor_msgs::PointField::FLOAT32 ||
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in.fields[z_idx].datatype != sensor_msgs::PointField::FLOAT32)
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{
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|
UERROR ("X-Y-Z coordinates not floats. Currently only floats are supported.");
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|
return;
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|
}
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// Check if distance is available
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|
int dist_idx = pcl::getFieldIndex (in, "distance");
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// Copy the other data
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|
if (&in != &out)
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{
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out.header = in.header;
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|
out.height = in.height;
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|
out.width = in.width;
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|
out.fields = in.fields;
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|
out.is_bigendian = in.is_bigendian;
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|
out.point_step = in.point_step;
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|
out.row_step = in.row_step;
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|
out.is_dense = in.is_dense;
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|
out.data.resize (in.data.size ());
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|
// Copy everything as it's faster than copying individual elements
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|
memcpy (&out.data[0], &in.data[0], in.data.size ());
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|
}
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|
|
||||||
|
Eigen::Array4i xyz_offset (in.fields[x_idx].offset, in.fields[y_idx].offset, in.fields[z_idx].offset, 0);
|
||||||
|
|
||||||
|
for (size_t i = 0; i < in.width * in.height; ++i)
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|
{
|
||||||
|
Eigen::Vector4f pt (*(float*)&in.data[xyz_offset[0]], *(float*)&in.data[xyz_offset[1]], *(float*)&in.data[xyz_offset[2]], 1);
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|
Eigen::Vector4f pt_out;
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|
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bool max_range_point = false;
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||||||
|
int distance_ptr_offset = i*in.point_step + in.fields[dist_idx].offset;
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|
float* distance_ptr = (dist_idx < 0 ? NULL : (float*)(&in.data[distance_ptr_offset]));
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|
if (!std::isfinite (pt[0]) || !std::isfinite (pt[1]) || !std::isfinite (pt[2]))
|
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|
{
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|
if (distance_ptr==NULL || !std::isfinite(*distance_ptr)) // Invalid point
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||||||
|
{
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|
pt_out = pt;
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|
}
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else // max range point
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|
{
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|
pt[0] = *distance_ptr; // Replace x with the x value saved in distance
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|
pt_out = transform * pt;
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max_range_point = true;
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||||||
|
//std::cout << pt[0]<<","<<pt[1]<<","<<pt[2]<<" => "<<pt_out[0]<<","<<pt_out[1]<<","<<pt_out[2]<<"\n";
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|
}
|
||||||
|
}
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||||||
|
else
|
||||||
|
{
|
||||||
|
pt_out = transform * pt;
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||||||
|
}
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||||||
|
|
||||||
|
if (max_range_point)
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||||||
|
{
|
||||||
|
// Save x value in distance again
|
||||||
|
*(float*)(&out.data[distance_ptr_offset]) = pt_out[0];
|
||||||
|
pt_out[0] = std::numeric_limits<float>::quiet_NaN();
|
||||||
|
}
|
||||||
|
|
||||||
|
memcpy (&out.data[xyz_offset[0]], &pt_out[0], sizeof (float));
|
||||||
|
memcpy (&out.data[xyz_offset[1]], &pt_out[1], sizeof (float));
|
||||||
|
memcpy (&out.data[xyz_offset[2]], &pt_out[2], sizeof (float));
|
||||||
|
|
||||||
|
|
||||||
|
xyz_offset += in.point_step;
|
||||||
|
}
|
||||||
|
|
||||||
|
// Check if the viewpoint information is present
|
||||||
|
int vp_idx = pcl::getFieldIndex (in, "vp_x");
|
||||||
|
if (vp_idx != -1)
|
||||||
|
{
|
||||||
|
// Transform the viewpoint info too
|
||||||
|
for (size_t i = 0; i < out.width * out.height; ++i)
|
||||||
|
{
|
||||||
|
float *pstep = (float*)&out.data[i * out.point_step + out.fields[vp_idx].offset];
|
||||||
|
// Assume vp_x, vp_y, vp_z are consecutive
|
||||||
|
Eigen::Vector4f vp_in (pstep[0], pstep[1], pstep[2], 1);
|
||||||
|
Eigen::Vector4f vp_out = transform * vp_in;
|
||||||
|
|
||||||
|
pstep[0] = vp_out[0];
|
||||||
|
pstep[1] = vp_out[1];
|
||||||
|
pstep[2] = vp_out[2];
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
namespace rtabmap_ros
|
namespace rtabmap_ros
|
||||||
{
|
{
|
||||||
|
|
||||||
/**
|
PointCloudAggregator::PointCloudAggregator(const rclcpp::NodeOptions & options) :
|
||||||
* Nodelet used to merge point clouds from different sensors into a single
|
Node("pointcloud_to_depthimage", options),
|
||||||
* assembled cloud. If fixed_frame_id is set and approx_sync is true,
|
|
||||||
* the clouds are adjusted to include the displacement of the robot
|
|
||||||
* in the output cloud.
|
|
||||||
*/
|
|
||||||
class PointCloudAggregator : public nodelet::Nodelet
|
|
||||||
{
|
|
||||||
public:
|
|
||||||
PointCloudAggregator() :
|
|
||||||
warningThread_(0),
|
warningThread_(0),
|
||||||
callbackCalled_(false),
|
callbackCalled_(false),
|
||||||
exactSync4_(0),
|
exactSync4_(0),
|
||||||
@@ -71,9 +159,112 @@ public:
|
|||||||
approxSync3_(0),
|
approxSync3_(0),
|
||||||
exactSync2_(0),
|
exactSync2_(0),
|
||||||
approxSync2_(0)
|
approxSync2_(0)
|
||||||
{}
|
{
|
||||||
|
|
||||||
virtual ~PointCloudAggregator()
|
tfBuffer_ = std::make_shared<tf2_ros::Buffer>(this->get_clock());
|
||||||
|
//auto timer_interface = std::make_shared<tf2_ros::CreateTimerROS>(
|
||||||
|
// this->get_node_base_interface(),
|
||||||
|
// this->get_node_timers_interface());
|
||||||
|
//tfBuffer_->setCreateTimerInterface(timer_interface);
|
||||||
|
tfListener_ = std::make_shared<tf2_ros::TransformListener>(*tfBuffer_);
|
||||||
|
|
||||||
|
int queueSize = 5;
|
||||||
|
int count = 2;
|
||||||
|
bool approx=true;
|
||||||
|
queueSize = this->declare_parameter("queue_size", queueSize);
|
||||||
|
frameId_ = this->declare_parameter("frame_id", frameId_);
|
||||||
|
fixedFrameId_ = this->declare_parameter("fixed_frame_id", fixedFrameId_);
|
||||||
|
approx = this->declare_parameter("approx_sync", approx);
|
||||||
|
count = this->declare_parameter("count", count);
|
||||||
|
|
||||||
|
cloudPub_ = create_publisher<sensor_msgs::msg::PointCloud2>("combined_cloud", 1);
|
||||||
|
|
||||||
|
cloudSub_1_.subscribe(this, "cloud1", rmw_qos_profile_sensor_data);
|
||||||
|
cloudSub_2_.subscribe(this, "cloud2", rmw_qos_profile_sensor_data);
|
||||||
|
|
||||||
|
std::string subscribedTopicsMsg;
|
||||||
|
if(count == 4)
|
||||||
|
{
|
||||||
|
cloudSub_3_.subscribe(this, "cloud3", rmw_qos_profile_sensor_data);
|
||||||
|
cloudSub_4_.subscribe(this, "cloud4", rmw_qos_profile_sensor_data);
|
||||||
|
if(approx)
|
||||||
|
{
|
||||||
|
approxSync4_ = new message_filters::Synchronizer<ApproxSync4Policy>(ApproxSync4Policy(queueSize), cloudSub_1_, cloudSub_2_, cloudSub_3_, cloudSub_4_);
|
||||||
|
approxSync4_->registerCallback(std::bind(&rtabmap_ros::PointCloudAggregator::clouds4_callback, this, std::placeholders::_1, std::placeholders::_2, std::placeholders::_3, std::placeholders::_4));
|
||||||
|
}
|
||||||
|
else
|
||||||
|
{
|
||||||
|
exactSync4_ = new message_filters::Synchronizer<ExactSync4Policy>(ExactSync4Policy(queueSize), cloudSub_1_, cloudSub_2_, cloudSub_3_, cloudSub_4_);
|
||||||
|
exactSync4_->registerCallback(std::bind(&rtabmap_ros::PointCloudAggregator::clouds4_callback, this, std::placeholders::_1, std::placeholders::_2, std::placeholders::_3, std::placeholders::_4));
|
||||||
|
}
|
||||||
|
subscribedTopicsMsg = uFormat("\n%s subscribed to (%s sync):\n %s,\n %s,\n %s,\n %s",
|
||||||
|
get_name(),
|
||||||
|
approx?"approx":"exact",
|
||||||
|
cloudSub_1_.getTopic().c_str(),
|
||||||
|
cloudSub_2_.getTopic().c_str(),
|
||||||
|
cloudSub_3_.getTopic().c_str(),
|
||||||
|
cloudSub_4_.getTopic().c_str());
|
||||||
|
}
|
||||||
|
else if(count == 3)
|
||||||
|
{
|
||||||
|
cloudSub_3_.subscribe(this, "cloud3", rmw_qos_profile_sensor_data);
|
||||||
|
if(approx)
|
||||||
|
{
|
||||||
|
approxSync3_ = new message_filters::Synchronizer<ApproxSync3Policy>(ApproxSync3Policy(queueSize), cloudSub_1_, cloudSub_2_, cloudSub_3_);
|
||||||
|
approxSync3_->registerCallback(std::bind(&rtabmap_ros::PointCloudAggregator::clouds3_callback, this, std::placeholders::_1, std::placeholders::_2, std::placeholders::_3));
|
||||||
|
}
|
||||||
|
else
|
||||||
|
{
|
||||||
|
exactSync3_ = new message_filters::Synchronizer<ExactSync3Policy>(ExactSync3Policy(queueSize), cloudSub_1_, cloudSub_2_, cloudSub_3_);
|
||||||
|
exactSync3_->registerCallback(std::bind(&rtabmap_ros::PointCloudAggregator::clouds3_callback, this, std::placeholders::_1, std::placeholders::_2, std::placeholders::_3));
|
||||||
|
}
|
||||||
|
subscribedTopicsMsg = uFormat("\n%s subscribed to (%s sync):\n %s,\n %s,\n %s",
|
||||||
|
this->get_name(),
|
||||||
|
approx?"approx":"exact",
|
||||||
|
cloudSub_1_.getTopic().c_str(),
|
||||||
|
cloudSub_2_.getTopic().c_str(),
|
||||||
|
cloudSub_3_.getTopic().c_str());
|
||||||
|
}
|
||||||
|
else
|
||||||
|
{
|
||||||
|
if(approx)
|
||||||
|
{
|
||||||
|
approxSync2_ = new message_filters::Synchronizer<ApproxSync2Policy>(ApproxSync2Policy(queueSize), cloudSub_1_, cloudSub_2_);
|
||||||
|
approxSync2_->registerCallback(std::bind(&rtabmap_ros::PointCloudAggregator::clouds2_callback, this, std::placeholders::_1, std::placeholders::_2));
|
||||||
|
}
|
||||||
|
else
|
||||||
|
{
|
||||||
|
exactSync2_ = new message_filters::Synchronizer<ExactSync2Policy>(ExactSync2Policy(queueSize), cloudSub_1_, cloudSub_2_);
|
||||||
|
exactSync2_->registerCallback(std::bind(&rtabmap_ros::PointCloudAggregator::clouds2_callback, this, std::placeholders::_1, std::placeholders::_2));
|
||||||
|
}
|
||||||
|
subscribedTopicsMsg = uFormat("\n%s subscribed to (%s sync):\n %s,\n %s",
|
||||||
|
this->get_name(),
|
||||||
|
approx?"approx":"exact",
|
||||||
|
cloudSub_1_.getTopic().c_str(),
|
||||||
|
cloudSub_2_.getTopic().c_str());
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
warningThread_ = new std::thread([&](){
|
||||||
|
rclcpp::Rate r(1.0/5.0);
|
||||||
|
while(!callbackCalled_)
|
||||||
|
{
|
||||||
|
r.sleep();
|
||||||
|
if(!callbackCalled_)
|
||||||
|
{
|
||||||
|
RCLCPP_WARN(this->get_logger(), "%s: Did not receive data since 5 seconds! Make sure the input topics are "
|
||||||
|
"published (\"$ rostopic hz my_topic\") and the timestamps in their "
|
||||||
|
"header are set. %s%s",
|
||||||
|
this->get_name(),
|
||||||
|
approx?"":"Parameter \"approx_sync\" is false, which means that input "
|
||||||
|
"topics should have all the exact timestamp for the callback to be called.",
|
||||||
|
subscribedTopicsMsg.c_str());
|
||||||
|
}
|
||||||
|
}
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
PointCloudAggregator::~PointCloudAggregator()
|
||||||
{
|
{
|
||||||
delete exactSync4_;
|
delete exactSync4_;
|
||||||
delete approxSync4_;
|
delete approxSync4_;
|
||||||
@@ -90,98 +281,12 @@ public:
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
private:
|
void PointCloudAggregator::clouds4_callback(const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_1,
|
||||||
virtual void onInit()
|
const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_2,
|
||||||
|
const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_3,
|
||||||
|
const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_4)
|
||||||
{
|
{
|
||||||
ros::NodeHandle & nh = getNodeHandle();
|
std::vector<sensor_msgs::msg::PointCloud2::ConstSharedPtr> clouds;
|
||||||
ros::NodeHandle & pnh = getPrivateNodeHandle();
|
|
||||||
|
|
||||||
int queueSize = 5;
|
|
||||||
int count = 2;
|
|
||||||
bool approx=true;
|
|
||||||
pnh.param("queue_size", queueSize, queueSize);
|
|
||||||
pnh.param("frame_id", frameId_, frameId_);
|
|
||||||
pnh.param("fixed_frame_id", fixedFrameId_, fixedFrameId_);
|
|
||||||
pnh.param("approx_sync", approx, approx);
|
|
||||||
pnh.param("count", count, count);
|
|
||||||
|
|
||||||
cloudSub_1_.subscribe(nh, "cloud1", 1);
|
|
||||||
cloudSub_2_.subscribe(nh, "cloud2", 1);
|
|
||||||
|
|
||||||
std::string subscribedTopicsMsg;
|
|
||||||
if(count == 4)
|
|
||||||
{
|
|
||||||
cloudSub_3_.subscribe(nh, "cloud3", 1);
|
|
||||||
cloudSub_4_.subscribe(nh, "cloud4", 1);
|
|
||||||
if(approx)
|
|
||||||
{
|
|
||||||
approxSync4_ = new message_filters::Synchronizer<ApproxSync4Policy>(ApproxSync4Policy(queueSize), cloudSub_1_, cloudSub_2_, cloudSub_3_, cloudSub_4_);
|
|
||||||
approxSync4_->registerCallback(boost::bind(&rtabmap_ros::PointCloudAggregator::clouds4_callback, this, _1, _2, _3, _4));
|
|
||||||
}
|
|
||||||
else
|
|
||||||
{
|
|
||||||
exactSync4_ = new message_filters::Synchronizer<ExactSync4Policy>(ExactSync4Policy(queueSize), cloudSub_1_, cloudSub_2_, cloudSub_3_, cloudSub_4_);
|
|
||||||
exactSync4_->registerCallback(boost::bind(&rtabmap_ros::PointCloudAggregator::clouds4_callback, this, _1, _2, _3, _4));
|
|
||||||
}
|
|
||||||
subscribedTopicsMsg = uFormat("\n%s subscribed to (%s sync):\n %s,\n %s,\n %s,\n %s",
|
|
||||||
getName().c_str(),
|
|
||||||
approx?"approx":"exact",
|
|
||||||
cloudSub_1_.getTopic().c_str(),
|
|
||||||
cloudSub_2_.getTopic().c_str(),
|
|
||||||
cloudSub_3_.getTopic().c_str(),
|
|
||||||
cloudSub_4_.getTopic().c_str());
|
|
||||||
}
|
|
||||||
else if(count == 3)
|
|
||||||
{
|
|
||||||
cloudSub_3_.subscribe(nh, "cloud3", 1);
|
|
||||||
if(approx)
|
|
||||||
{
|
|
||||||
approxSync3_ = new message_filters::Synchronizer<ApproxSync3Policy>(ApproxSync3Policy(queueSize), cloudSub_1_, cloudSub_2_, cloudSub_3_);
|
|
||||||
approxSync3_->registerCallback(boost::bind(&rtabmap_ros::PointCloudAggregator::clouds3_callback, this, _1, _2, _3));
|
|
||||||
}
|
|
||||||
else
|
|
||||||
{
|
|
||||||
exactSync3_ = new message_filters::Synchronizer<ExactSync3Policy>(ExactSync3Policy(queueSize), cloudSub_1_, cloudSub_2_, cloudSub_3_);
|
|
||||||
exactSync3_->registerCallback(boost::bind(&rtabmap_ros::PointCloudAggregator::clouds3_callback, this, _1, _2, _3));
|
|
||||||
}
|
|
||||||
subscribedTopicsMsg = uFormat("\n%s subscribed to (%s sync):\n %s,\n %s,\n %s",
|
|
||||||
getName().c_str(),
|
|
||||||
approx?"approx":"exact",
|
|
||||||
cloudSub_1_.getTopic().c_str(),
|
|
||||||
cloudSub_2_.getTopic().c_str(),
|
|
||||||
cloudSub_3_.getTopic().c_str());
|
|
||||||
}
|
|
||||||
else
|
|
||||||
{
|
|
||||||
if(approx)
|
|
||||||
{
|
|
||||||
approxSync2_ = new message_filters::Synchronizer<ApproxSync2Policy>(ApproxSync2Policy(queueSize), cloudSub_1_, cloudSub_2_);
|
|
||||||
approxSync2_->registerCallback(boost::bind(&rtabmap_ros::PointCloudAggregator::clouds2_callback, this, _1, _2));
|
|
||||||
}
|
|
||||||
else
|
|
||||||
{
|
|
||||||
exactSync2_ = new message_filters::Synchronizer<ExactSync2Policy>(ExactSync2Policy(queueSize), cloudSub_1_, cloudSub_2_);
|
|
||||||
exactSync2_->registerCallback(boost::bind(&rtabmap_ros::PointCloudAggregator::clouds2_callback, this, _1, _2));
|
|
||||||
}
|
|
||||||
subscribedTopicsMsg = uFormat("\n%s subscribed to (%s sync):\n %s,\n %s",
|
|
||||||
getName().c_str(),
|
|
||||||
approx?"approx":"exact",
|
|
||||||
cloudSub_1_.getTopic().c_str(),
|
|
||||||
cloudSub_2_.getTopic().c_str());
|
|
||||||
}
|
|
||||||
|
|
||||||
cloudPub_ = nh.advertise<sensor_msgs::PointCloud2>("combined_cloud", 1);
|
|
||||||
|
|
||||||
warningThread_ = new boost::thread(boost::bind(&PointCloudAggregator::warningLoop, this, subscribedTopicsMsg, approx));
|
|
||||||
NODELET_INFO("%s", subscribedTopicsMsg.c_str());
|
|
||||||
}
|
|
||||||
|
|
||||||
void clouds4_callback(const sensor_msgs::PointCloud2ConstPtr & cloudMsg_1,
|
|
||||||
const sensor_msgs::PointCloud2ConstPtr & cloudMsg_2,
|
|
||||||
const sensor_msgs::PointCloud2ConstPtr & cloudMsg_3,
|
|
||||||
const sensor_msgs::PointCloud2ConstPtr & cloudMsg_4)
|
|
||||||
{
|
|
||||||
std::vector<sensor_msgs::PointCloud2ConstPtr> clouds;
|
|
||||||
clouds.push_back(cloudMsg_1);
|
clouds.push_back(cloudMsg_1);
|
||||||
clouds.push_back(cloudMsg_2);
|
clouds.push_back(cloudMsg_2);
|
||||||
clouds.push_back(cloudMsg_3);
|
clouds.push_back(cloudMsg_3);
|
||||||
@@ -189,39 +294,44 @@ private:
|
|||||||
|
|
||||||
combineClouds(clouds);
|
combineClouds(clouds);
|
||||||
}
|
}
|
||||||
void clouds3_callback(const sensor_msgs::PointCloud2ConstPtr & cloudMsg_1,
|
void PointCloudAggregator::clouds3_callback(const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_1,
|
||||||
const sensor_msgs::PointCloud2ConstPtr & cloudMsg_2,
|
const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_2,
|
||||||
const sensor_msgs::PointCloud2ConstPtr & cloudMsg_3)
|
const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_3)
|
||||||
{
|
{
|
||||||
std::vector<sensor_msgs::PointCloud2ConstPtr> clouds;
|
std::vector<sensor_msgs::msg::PointCloud2::ConstSharedPtr> clouds;
|
||||||
clouds.push_back(cloudMsg_1);
|
clouds.push_back(cloudMsg_1);
|
||||||
clouds.push_back(cloudMsg_2);
|
clouds.push_back(cloudMsg_2);
|
||||||
clouds.push_back(cloudMsg_3);
|
clouds.push_back(cloudMsg_3);
|
||||||
|
|
||||||
combineClouds(clouds);
|
combineClouds(clouds);
|
||||||
}
|
}
|
||||||
void clouds2_callback(const sensor_msgs::PointCloud2ConstPtr & cloudMsg_1,
|
void PointCloudAggregator::clouds2_callback(const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_1,
|
||||||
const sensor_msgs::PointCloud2ConstPtr & cloudMsg_2)
|
const sensor_msgs::msg::PointCloud2::ConstSharedPtr cloudMsg_2)
|
||||||
{
|
{
|
||||||
std::vector<sensor_msgs::PointCloud2ConstPtr> clouds;
|
std::vector<sensor_msgs::msg::PointCloud2::ConstSharedPtr> clouds;
|
||||||
clouds.push_back(cloudMsg_1);
|
clouds.push_back(cloudMsg_1);
|
||||||
clouds.push_back(cloudMsg_2);
|
clouds.push_back(cloudMsg_2);
|
||||||
|
|
||||||
combineClouds(clouds);
|
combineClouds(clouds);
|
||||||
}
|
}
|
||||||
void combineClouds(const std::vector<sensor_msgs::PointCloud2ConstPtr> & cloudMsgs)
|
void PointCloudAggregator::combineClouds(const std::vector<sensor_msgs::msg::PointCloud2::ConstSharedPtr> & cloudMsgs)
|
||||||
{
|
{
|
||||||
callbackCalled_ = true;
|
callbackCalled_ = true;
|
||||||
ROS_ASSERT(cloudMsgs.size() > 1);
|
UASSERT(cloudMsgs.size() > 1);
|
||||||
if(cloudPub_.getNumSubscribers())
|
if(cloudPub_->get_subscription_count())
|
||||||
{
|
{
|
||||||
pcl::PCLPointCloud2 output;
|
pcl::PCLPointCloud2 output;
|
||||||
|
|
||||||
std::string frameId = frameId_;
|
std::string frameId = frameId_;
|
||||||
if(!frameId.empty() && frameId.compare(cloudMsgs[0]->header.frame_id) != 0)
|
if(!frameId.empty() && frameId.compare(cloudMsgs[0]->header.frame_id) != 0)
|
||||||
{
|
{
|
||||||
sensor_msgs::PointCloud2 tmp;
|
sensor_msgs::msg::PointCloud2 tmp;
|
||||||
pcl_ros::transformPointCloud(frameId, *cloudMsgs[0], tmp, tfListener_);
|
rtabmap::Transform t = rtabmap_ros::getTransform(frameId, cloudMsgs[0]->header.frame_id, cloudMsgs[0]->header.stamp, *tfBuffer_, 0.1);
|
||||||
|
if(t.isNull())
|
||||||
|
{
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
pcl_ros::transformPointCloud(t.toEigen4f(), *cloudMsgs[0], tmp);
|
||||||
pcl_conversions::toPCL(tmp, output);
|
pcl_conversions::toPCL(tmp, output);
|
||||||
}
|
}
|
||||||
else
|
else
|
||||||
@@ -243,7 +353,7 @@ private:
|
|||||||
fixedFrameId_, //fixedFrame
|
fixedFrameId_, //fixedFrame
|
||||||
cloudMsgs[i]->header.stamp, //stampSource
|
cloudMsgs[i]->header.stamp, //stampSource
|
||||||
cloudMsgs[0]->header.stamp, //stampTarget
|
cloudMsgs[0]->header.stamp, //stampTarget
|
||||||
tfListener_,
|
*tfBuffer_,
|
||||||
0.1);
|
0.1);
|
||||||
notsync = true;
|
notsync = true;
|
||||||
}
|
}
|
||||||
@@ -251,11 +361,12 @@ private:
|
|||||||
pcl::PCLPointCloud2 cloud2;
|
pcl::PCLPointCloud2 cloud2;
|
||||||
if(frameId.compare(cloudMsgs[i]->header.frame_id) != 0)
|
if(frameId.compare(cloudMsgs[i]->header.frame_id) != 0)
|
||||||
{
|
{
|
||||||
sensor_msgs::PointCloud2 tmp;
|
sensor_msgs::msg::PointCloud2 tmp;
|
||||||
pcl_ros::transformPointCloud(frameId, *cloudMsgs[i], tmp, tfListener_);
|
rtabmap::Transform t = rtabmap_ros::getTransform(frameId, cloudMsgs[i]->header.frame_id, cloudMsgs[i]->header.stamp, *tfBuffer_, 0.1);
|
||||||
|
pcl_ros::transformPointCloud(t.toEigen4f(), *cloudMsgs[i], tmp);
|
||||||
if(!cloudDisplacement.isNull())
|
if(!cloudDisplacement.isNull())
|
||||||
{
|
{
|
||||||
sensor_msgs::PointCloud2 tmp2;
|
sensor_msgs::msg::PointCloud2 tmp2;
|
||||||
pcl_ros::transformPointCloud(cloudDisplacement.toEigen4f(), tmp, tmp2);
|
pcl_ros::transformPointCloud(cloudDisplacement.toEigen4f(), tmp, tmp2);
|
||||||
pcl_conversions::toPCL(tmp2, cloud2);
|
pcl_conversions::toPCL(tmp2, cloud2);
|
||||||
}
|
}
|
||||||
@@ -269,7 +380,7 @@ private:
|
|||||||
{
|
{
|
||||||
if(!cloudDisplacement.isNull())
|
if(!cloudDisplacement.isNull())
|
||||||
{
|
{
|
||||||
sensor_msgs::PointCloud2 tmp;
|
sensor_msgs::msg::PointCloud2 tmp;
|
||||||
pcl_ros::transformPointCloud(cloudDisplacement.toEigen4f(), *cloudMsgs[i], tmp);
|
pcl_ros::transformPointCloud(cloudDisplacement.toEigen4f(), *cloudMsgs[i], tmp);
|
||||||
pcl_conversions::toPCL(tmp, cloud2);
|
pcl_conversions::toPCL(tmp, cloud2);
|
||||||
}
|
}
|
||||||
@@ -284,60 +395,19 @@ private:
|
|||||||
output = tmp_output;
|
output = tmp_output;
|
||||||
}
|
}
|
||||||
|
|
||||||
sensor_msgs::PointCloud2 rosCloud;
|
sensor_msgs::msg::PointCloud2::UniquePtr rosCloud(new sensor_msgs::msg::PointCloud2);
|
||||||
pcl_conversions::moveFromPCL(output, rosCloud);
|
pcl_conversions::moveFromPCL(output, *rosCloud);
|
||||||
rosCloud.header.stamp = cloudMsgs[0]->header.stamp;
|
rosCloud->header.stamp = cloudMsgs[0]->header.stamp;
|
||||||
rosCloud.header.frame_id = frameId;
|
rosCloud->header.frame_id = frameId;
|
||||||
cloudPub_.publish(rosCloud);
|
cloudPub_->publish(std::move(rosCloud));
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
void warningLoop(const std::string & subscribedTopicsMsg, bool approxSync)
|
|
||||||
{
|
|
||||||
ros::Duration r(5.0);
|
|
||||||
while(!callbackCalled_)
|
|
||||||
{
|
|
||||||
r.sleep();
|
|
||||||
if(!callbackCalled_)
|
|
||||||
{
|
|
||||||
ROS_WARN("%s: Did not receive data since 5 seconds! Make sure the input topics are "
|
|
||||||
"published (\"$ rostopic hz my_topic\") and the timestamps in their "
|
|
||||||
"header are set. %s%s",
|
|
||||||
getName().c_str(),
|
|
||||||
approxSync?"":"Parameter \"approx_sync\" is false, which means that input "
|
|
||||||
"topics should have all the exact timestamp for the callback to be called.",
|
|
||||||
subscribedTopicsMsg.c_str());
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
|
|
||||||
boost::thread * warningThread_;
|
#include "rclcpp_components/register_node_macro.hpp"
|
||||||
bool callbackCalled_;
|
|
||||||
|
|
||||||
typedef message_filters::sync_policies::ExactTime<sensor_msgs::PointCloud2, sensor_msgs::PointCloud2, sensor_msgs::PointCloud2, sensor_msgs::PointCloud2> ExactSync4Policy;
|
|
||||||
typedef message_filters::sync_policies::ApproximateTime<sensor_msgs::PointCloud2, sensor_msgs::PointCloud2, sensor_msgs::PointCloud2, sensor_msgs::PointCloud2> ApproxSync4Policy;
|
|
||||||
typedef message_filters::sync_policies::ExactTime<sensor_msgs::PointCloud2, sensor_msgs::PointCloud2, sensor_msgs::PointCloud2> ExactSync3Policy;
|
|
||||||
typedef message_filters::sync_policies::ApproximateTime<sensor_msgs::PointCloud2, sensor_msgs::PointCloud2, sensor_msgs::PointCloud2> ApproxSync3Policy;
|
|
||||||
typedef message_filters::sync_policies::ExactTime<sensor_msgs::PointCloud2, sensor_msgs::PointCloud2> ExactSync2Policy;
|
|
||||||
typedef message_filters::sync_policies::ApproximateTime<sensor_msgs::PointCloud2, sensor_msgs::PointCloud2> ApproxSync2Policy;
|
|
||||||
message_filters::Synchronizer<ExactSync4Policy>* exactSync4_;
|
|
||||||
message_filters::Synchronizer<ApproxSync4Policy>* approxSync4_;
|
|
||||||
message_filters::Synchronizer<ExactSync3Policy>* exactSync3_;
|
|
||||||
message_filters::Synchronizer<ApproxSync3Policy>* approxSync3_;
|
|
||||||
message_filters::Synchronizer<ExactSync2Policy>* exactSync2_;
|
|
||||||
message_filters::Synchronizer<ApproxSync2Policy>* approxSync2_;
|
|
||||||
message_filters::Subscriber<sensor_msgs::PointCloud2> cloudSub_1_;
|
|
||||||
message_filters::Subscriber<sensor_msgs::PointCloud2> cloudSub_2_;
|
|
||||||
message_filters::Subscriber<sensor_msgs::PointCloud2> cloudSub_3_;
|
|
||||||
message_filters::Subscriber<sensor_msgs::PointCloud2> cloudSub_4_;
|
|
||||||
|
|
||||||
ros::Publisher cloudPub_;
|
|
||||||
|
|
||||||
std::string frameId_;
|
|
||||||
std::string fixedFrameId_;
|
|
||||||
tf::TransformListener tfListener_;
|
|
||||||
};
|
|
||||||
|
|
||||||
PLUGINLIB_EXPORT_CLASS(rtabmap_ros::PointCloudAggregator, nodelet::Nodelet);
|
|
||||||
}
|
|
||||||
|
|
||||||
|
// Register the component with class_loader.
|
||||||
|
// This acts as a sort of entry point, allowing the component to be discoverable when its library
|
||||||
|
// is being loaded into a running process.
|
||||||
|
RCLCPP_COMPONENTS_REGISTER_NODE(rtabmap_ros::PointCloudAggregator)
|
||||||
|
|||||||
Reference in New Issue
Block a user