mirror of
https://github.com/introlab/rtabmap_ros.git
synced 2026-10-04 16:57:46 +08:00
matlabbe
3f6adad463
* Updating examples and README * updated main readme * odom: Added always_check_imu_tf parameter. sync: increased default sync_queue_size from 2 to 5 (to be more flexible to different hardware), added input and output diagnostics. rtabmap_viz: fixed node with same name redeclared warning. * update readme * Added husky demo * converted demo_robot_mapping.launch to ros2 * Converted stereo_outdoor demo from ros1 to ros2 * Converted multi-session demo to ros2 * Converted demo_find_object launch to ros2 * renamed files * uniformized default qos, increased sync_queue_size default to 10 * Added vlp16 + imu example * Added husky 3D lidar demos * moved demos in subdir * Added vlp16+zed example * rtabmap_viz: ignore odom update if tf not ready when not using topic (to avoid showing red screen). Added champ VSLAM demo. * forwarded camera_model arg for zed examples, removed qos for turtlebot4 demo * pointcloud_to_depthimage: added more error logs, removed output camera_info published twice and match ros1 namespaces * Created two base general examples for 3D lidar usage, then create hardware specific examples on top of them. * Added isaac sim demo * Final update of all demos. Fixed MapCloud rviz plugin crashing when floor/ceiling filtering is used and resulting cloud is empty. * Fixed 2d scan deskewing output frame, moved nav2 params under "params" folder, added number of topics processed/dropped for odometry, added icp_odometry option for turtlebot3 scan-only demo. * rtabmap_demos: added README with examples * Added TOC * bump version to 0.21.9
72 lines
2.7 KiB
Python
72 lines
2.7 KiB
Python
# Requirements:
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# A Kinect for Azure
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# Install Azure_Kinect_ROS_Driver ros2 package (https://github.com/microsoft/Azure_Kinect_ROS_Driver/tree/humble)
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# To install Kinect SDK on Ubuntu 22.04, see https://github.com/microsoft/Azure-Kinect-Sensor-SDK/issues/1790#issuecomment-1531626651
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# udev rules: https://github.com/microsoft/Azure-Kinect-Sensor-SDK/blob/5f79890933e1c81e325633152b2f2799df825b8b/docs/usage.md#linux-device-setup
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# Install imu_filter_madgwick ros2 package
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# Example:
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# $ ros2 launch rtabmap_examples k4a.launch.py
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from launch import LaunchDescription
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from launch_ros.actions import Node
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def generate_launch_description():
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parameters=[{
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'frame_id':'camera_base',
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'subscribe_rgbd':True,
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'subscribe_odom_info':True}]
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remappings=[
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('imu', '/imu/data'),
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('rgb/image', '/rgb/image_raw'),
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('rgb/camera_info', '/rgb/camera_info'),
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('depth/image', '/depth_to_rgb/image_raw'),
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('rgbd_image', 'odom_rgbd_image')]
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return LaunchDescription([
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# Nodes to launch
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# Visual odometry node
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Node(
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package='rtabmap_odom', executable='rgbd_odometry', output='screen',
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parameters=[{ 'frame_id':'camera_base',
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'approx_sync':True,
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'approx_sync_max_interval':0.01,
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'wait_imu_to_init':True,
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'queue_size':30,
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'keep_color':True,
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# Color image needs to be rectified,
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# this will tell vo to rectify them for convenience:
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'Rtabmap/ImagesAlreadyRectified':'False'}],
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remappings=remappings),
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# SLAM node
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Node(
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package='rtabmap_slam', executable='rtabmap', output='screen',
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parameters=parameters,
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remappings=remappings,
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arguments=['-d']),
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# Visualization node
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Node(
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package='rtabmap_viz', executable='rtabmap_viz', output='screen',
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parameters=parameters,
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remappings=remappings),
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# Kinect for azure
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Node(
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package='azure_kinect_ros_driver', executable='node', output='screen',
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parameters=[{'color_enabled': True,
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'fps':15,
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'depth_mode':'WFOV_2X2BINNED'}]),
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# Compute quaternion of the IMU
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Node(
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package='imu_filter_madgwick', executable='imu_filter_madgwick_node', output='screen',
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parameters=[{'use_mag': False,
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'world_frame':'enu',
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'publish_tf':False}],
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remappings=[('imu/data_raw', '/imu')]),
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])
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