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when develop slam based on 3D lidar, we often use imu to provide priori for matching algorithm(icp, ndt), so the transform between lidar and imu need to be calibrated.For matching algorithm, attitude in transfom is more important than position in transform, and position often be set to 0. So this repo concentrate on calibrate attitude component in transform between lidar and imu.
mkdir -p catkin_ws/src
cd catkin_ws/src
git clone https://github.com/chennuo0125-HIT/lidar_imu_calib.git
cd ..
catkin_make -DCATKIN_WHITELIST_PACKAGES="ndt_omp;lidar_imu_calib"
rosbag record /imu /lidar_points
lidar_topic: lidar data topic name
imu_topic: imu data topic name
bag_file: *.bag file record imu and lidar data topic
roslaunch lidar_imu_calib calib_exR_lidar2imu.launch
https://blog.csdn.net/weixin_37835423/article/details/110672571
$ claude mcp add lidar_imu_calib \
-- python -m otcore.mcp_server <graph>