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Wrong calibration result with my own data. #5
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May be reading https://arxiv.org/abs/2104.12280 will provide more insights. Generic advice will be calibrate the IMU intrinsics, and most importantly exhibit motion which sufficiently excites all DoFs while collecting calibration data. I have not tested this particular LiDAR but I am not sure why scan deskewing is taking 2.5 seconds even though it's a 32 channel lidar. |
Thanks, I have carefully read your paper and I cited your good work in my paper. Maybe I can send you the test data which might be helpful to find out the reason of large time consumption of scan deskwing. Since lots of LiDARs provide unorganized pointcloud (the height is always 1), it would be great if your code support unorganized input pointcloud. Thank you so much. |
@zfc-zfc Hi, started roslaunch server http://minzhus:45557/
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Hi, I tried your method with my data collected using Hesai PandarXT(32 line) and an external IMU. The data is synchronized, but the calibration result is wrong (The ground truth should be (-0.12, 0, 0.15), (0,0,-180) ), shown as follows:
Time taken for deskewing: 2.45107 [s]
[Propagation] successfully propagated
[Update] successful updateScan2Scan
[Update] successful updateScan2GlobalMap
[ INFO] [1640251233.514128561]: Lidar scan no: 557
[ INFO] [1640251233.514159010]: No of lodom: 498
[ INFO] [1640251233.514329557]: Reached end of bag
[ INFO] [1640251233.514342060]: Kalman Filtering took : 1295.45 [s]
Writing KF calibration result to: /home/dji/workspace/Texas_LICalib_ws/src/imu_lidar_calibration/linkalibr/data/I_T_L_final.txt
[ INFO] [1640251233.514537621]: Translation [in m]: -0.113965 -0.195481 -1.0932
[ INFO] [1640251233.514552354]: Euler Angles [in deg]: 174.288 179.51 -178.068
And I tested the same bag twice, the result are quite different. Could you please tell me the reason? Thx
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