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rtabmap_odom tests and doc (#1456)
* rtabmap_odom tests and doc * opengv note * added ci checks or humble-latest flaky dep cmake errors * Added real data tests for rgbd_odom and stereo_odom * added real data for icp_odometry's deskewing test * fixing json cmake error on lyrical/rolling * test 2d icp odom deskewing branch * first review of existing OdometryROS tests * testing with imu used as guess * tested imu arrivals sync * Fixed odom reset on right pose when guess frame id is used * fixing header errors in ci >=lyrical * Added support for input rgbd_image topic with features for odom, added multicam rgbd_odometry test * Added stereo odom support for features-only frames. Added multicam stereo tests. * forcing latest rtabmap version * updated OdometryROS API * ci: dont build non-latest docker in pull requests * splitting docker jobs * doc edit * Making publish_null_when_lost:=false continous when guess is provided (using guess covariance when we cannot register yet) * updated stereo doc * ficing rolling ci (rviz Ogre header) * Added test coverage of alll rgbd_image callbacks * fixing rolling ci * making docker ci build/run the tests on pull requests * fixing ros2 ci testing * improved sync callback coverage * improving stereo_odometry test coverage * improved icp_odometry test coverage * lyrical voxel_grid ptr error * make multicam tests working as well without opengv * removing deps of missing packages on rolling * PCL empty cloud conversion compiler errors fix * fixing icp_odometry test failure on ci witohut libpointmatcher * fixing nav2 costmap plugin build on lyrical * joining thread when exiting * updating icp test to work the same on pcl 1.15 (lyrical) * Fix parallel tests seg fault --------- Co-authored-by: mathieu86 <[email protected]>
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Broadcasts the orientation of an IMU as a TF transform.
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The node subscribes to a `sensor_msgs/msg/Imu` topic, takes the `orientation` field and broadcasts it on `/tf` as the rotation of `fixed_frame_id` → the IMU frame. Set `base_frame_id` and that frame becomes the child instead, with the orientation re-expressed in it from the IMU's mounting, so the transform says how the *robot* is oriented rather than how the sensor is. Either way `fixed_frame_id` is the parent, and nothing else of the message is used: the transform's translation is always zero, and the angular velocity and linear acceleration are ignored.
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The node subscribes to a [`sensor_msgs/msg/Imu`](https://docs.ros.org/en/jazzy/p/sensor_msgs/msg/Imu.html) topic, takes the `orientation` field and broadcasts it on `/tf` as the rotation of `fixed_frame_id` → the IMU frame. Set `base_frame_id` and that frame becomes the child instead, with the orientation re-expressed in it from the IMU's mounting, so the transform says how the *robot* is oriented rather than how the sensor is. Either way `fixed_frame_id` is the parent, and nothing else of the message is used: the transform's translation is always zero, and the angular velocity and linear acceleration are ignored.
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It exists so that a consumer that needs an oriented frame — a lidar deskewing node, a point cloud assembler, RViz — can get one from an IMU alone, without running odometry.
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## Contents
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- [Usage](#usage)
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- [When the IMU has no orientation](#when-the-imu-has-no-orientation)
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- [A stabilized frame for lidar deskewing and odometry](#a-stabilized-frame-for-lidar-deskewing-and-odometry)
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- [A rotation guess for visual odometry](#a-rotation-guess-for-visual-odometry)
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- [Subscribed Topics](#subscribed-topics)
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- [Published Topics](#published-topics)
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- [Published Transforms](#published-transforms)
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- [Required Transforms](#required-transforms)
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- [Parameters](#parameters)
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- [Mounting offset](#mounting-offset)
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- [Notes](#notes)
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## Usage
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As a standalone node:
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