LiDAR_IMU_Init
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hku-mars
when online refinement start working, the lidar lost direction
Thanks your nice work. I get some confused thing when I try myself IMU.
I try run this code with Avia Lidar with internal IMU. That is works fine.
When I change imu topic to my external IMU. It seems works well when Init and move around Lidar. When the online refinement Or switch to FastLIO, it jusr break up. There is a video and result image:
https://user-images.githubusercontent.com/22499907/203916369-478570dc-7dc2-4f1b-9615-c845d81e02c7.mp4
After using Livox_ros_lidar modified by your team. "Time Lag IMU to LiDAR " seems to be okay while the result is still so bad.
result: [Final Result] Rotation LiDAR to IMU = -7.986911 -28.632727 0.648854 deg [Final Result] Translation LiDAR to IMU = -0.030898 0.007697 -0.130860 m [Final Result] Time Lag IMU to LiDAR = -0.06435479 s [Final Result] Bias of Gyroscope = -1.946176 -0.298351 0.533426 rad/s [Final Result] Bias of Accelerometer = -0.419254 0.025881 0.195204 m/s^2 [Final Result] Gravity in World Frame = -0.156993 0.171372 -9.402240 m/s^2
After using Livox_ros_lidar modified by your team. "Time Lag IMU to LiDAR " seems to be okay while the result is still so bad.
result: [Final Result] Rotation LiDAR to IMU = -7.986911 -28.632727 0.648854 deg [Final Result] Translation LiDAR to IMU = -0.030898 0.007697 -0.130860 m [Final Result] Time Lag IMU to LiDAR = -0.06435479 s [Final Result] Bias of Gyroscope = -1.946176 -0.298351 0.533426 rad/s [Final Result] Bias of Accelerometer = -0.419254 0.025881 0.195204 m/s^2 [Final Result] Gravity in World Frame = -0.156993 0.171372 -9.402240 m/s^2
Is this parameter correct?
the
I recommend verifying the output data of your external IMU, to see if the acceleration and gyroscope are normal. The calibrated gyroscope bias seems abnormal.
It seems work fine as usual until X Y Z get 100% to online refinement. And then the lidar do that confusing rotation
After using Livox_ros_lidar modified by your team. "Time Lag IMU to LiDAR " seems to be okay while the result is still so bad. result: [Final Result] Rotation LiDAR to IMU = -7.986911 -28.632727 0.648854 deg [Final Result] Translation LiDAR to IMU = -0.030898 0.007697 -0.130860 m [Final Result] Time Lag IMU to LiDAR = -0.06435479 s [Final Result] Bias of Gyroscope = -1.946176 -0.298351 0.533426 rad/s [Final Result] Bias of Accelerometer = -0.419254 0.025881 0.195204 m/s^2 [Final Result] Gravity in World Frame = -0.156993 0.171372 -9.402240 m/s^2
It seems work fine as usual until X Y Z get 100% to online refinement. And then the lidar do that confusing rotation.
I will try it with other IMU.
It seems work fine as usual until X Y Z get 100% to online refinement. And then the lidar do that confusing rotation
After using Livox_ros_lidar modified by your team. "Time Lag IMU to LiDAR " seems to be okay while the result is still so bad. result: [Final Result] Rotation LiDAR to IMU = -7.986911 -28.632727 0.648854 deg [Final Result] Translation LiDAR to IMU = -0.030898 0.007697 -0.130860 m [Final Result] Time Lag IMU to LiDAR = -0.06435479 s [Final Result] Bias of Gyroscope = -1.946176 -0.298351 0.533426 rad/s [Final Result] Bias of Accelerometer = -0.419254 0.025881 0.195204 m/s^2 [Final Result] Gravity in World Frame = -0.156993 0.171372 -9.402240 m/s^2
It seems work fine as usual until X Y Z get 100% to online refinement. And then the lidar do that confusing rotation
Or you can share a bag by uploading it to onedrive and then give me a link.
It seems work fine as usual until X Y Z get 100% to online refinement. And then the lidar do that confusing rotation
After using Livox_ros_lidar modified by your team. "Time Lag IMU to LiDAR " seems to be okay while the result is still so bad. result: [Final Result] Rotation LiDAR to IMU = -7.986911 -28.632727 0.648854 deg [Final Result] Translation LiDAR to IMU = -0.030898 0.007697 -0.130860 m [Final Result] Time Lag IMU to LiDAR = -0.06435479 s [Final Result] Bias of Gyroscope = -1.946176 -0.298351 0.533426 rad/s [Final Result] Bias of Accelerometer = -0.419254 0.025881 0.195204 m/s^2 [Final Result] Gravity in World Frame = -0.156993 0.171372 -9.402240 m/s^2
It seems work fine as usual until X Y Z get 100% to online refinement. And then the lidar do that confusing rotation
Or you can share a bag by uploading it to onedrive and then give me a link.
lidar topic: /livox/lidar IMU topic: /imu/data_raw https://tjueducn-my.sharepoint.com/:u:/g/personal/h_shengfeng_tju_edu_cn/EXVjHxXoDGlIs6SotO384TUBi12h7Sw2Lz0VzdVO3mdtrw?e=5yXsnf
The angular velocity of your bag is too large, I guess it's because the unit is degree/s but our code needs rad/s. By converting the input angular velocity to rad/s, the calibration is OK.
Converting degree/s to rad/s:
Result:
https://user-images.githubusercontent.com/50921331/203965629-f4ed3e0f-d426-4f69-b324-55ffa90261c2.mp4
ngular velocity of your bag is too large, I guess it's because the unit is degree/s but our code needs rad/s
That solved this problem. Thanks to you zfc helping me out. Have a nice day...
ps: Add code to laserMapping.cpp line 423
Hello, can you share the laserMapping.cpp file, I tried to add the lines to pass to rad/sec but I get the same error as you at the beginning.
Hello, can you share the laserMapping.cpp file, I tried to add the lines to pass to rad/sec but I get the same error as you at the beginning.
can u just post your code( executed function) here? My .cpp file dropped long time ago.
@Marshall-Hu Hi，could you tell me the avia calibration parameter which you get with the built-in IMU? Thank you very much. I get the parameters I got are not consistent with the avia documentation.
@Marshall-Hu Hi，could you tell me the avia calibration parameter which you get with the built-in IMU? Thank you very much. I get the parameters I got are not consistent with the avia documentation.
IMU 坐标原点 O' 在点云坐标系 O-XYZ 上的坐标为（-41.65，-23.26，28.40）（单位：mm）。https://terra-1-g.djicdn.com/65c028cd298f4669a7f0e40e50ba1131/Download/Avia/Livox%20Avia%20用户手册中文.pdf
（-41.65，-23.26，28.40） 您好，请问您通过lidar_imu_init算法标出来的结果和avia 用户手册一样？我标了好多次都不一样，用作者提供的bag跑结果也不是。如果您标出来的和avia用户手册一样那可能是我操作有误了。
（-41.65，-23.26，28.40） 您好，请问您通过lidar_imu_init算法标出来的结果和avia 用户手册一样？我标了好多次都不一样，用作者提供的bag跑结果也不是。如果您标出来的和avia用户手册一样那可能是我操作有误了。
你是外置imu还是怎么，这个值可以拿来做参考啊，不会一样的。但如果差的很多我感觉，可以检查下xyz轴是不是朝向一致的
你是外置imu还是怎么 我是用的avia的内置IMU，直接跑的作者给的bag包，加速度也设置为1，但是结果偏差较大，标定结果与用户手册正负号都不一样
你是外置imu还是怎么 我是用的avia的内置IMU，直接跑的作者给的bag包，加速度也设置为1，但是结果偏差较大，标定结果与用户手册正负号都不一样
没明白，你要跑自己的bag包才能有自己的imu和lidar的转换关系。你跑作者的出来也是他搭建的设备的标定结果。
假如你直接用avia和内置其内置的imu的bag包出来的标定，也不会和手册一样的。 这个标定结果，我是结合r3live另一个项目配合使用自己的外置imu，能够保证2者比较好的工作。不清楚你的需求，只能说这么多了
我是自采了bag包，但结果不对，所以用了下作者上传的用avia和其内置IMU采集的bag包进行验证，发现都与手册相差很多。想验证下这个标定精度能有多高，谢谢您的耐心解答，再次感谢！
