Closed sachaMorin closed 1 month ago
How did you get those IMU noise intrinsics. They are very very large. You are sure your IMU is in m/s^2 and rad/sec? Additionally a sample rate <100Hz is likely to fail with the current Kalibr, I am not sure if there will be good performance there.
IMU0:
---------------------------Model: calibrated
Update rate: 74
Accelerometer:
Noise density: 0.02129438377
Noise density (discrete): 0.18318121555077344
Random walk: 0.00344152018210807
Gyroscope:
Noise density: 0.00147282089
Noise density (discrete): 0.012669684355875208
I collected still IMU data overnight and used allan_variance_ros then inflated the noise values following the tutorial.
I'll close this since we ended up using another robot with known extrinsics. Thanks for getting back to me!
Hello,
I'm trying to get the transform between a D435 and the IMU on a mobile robot (Clearpath Jackal). I'm following Patrick Geneva's tutorial. I do manage to lift the robot and "excite" all axes of the IMU with rotations. I've tried various bags with small and big motions, sometimes walking around with the robot.
I attached the pdf output of one calibration. The translation is usually close to 0, while I expect something around .4m to .5m on the z axis (in IMU frame).
I was just wondering if anyone had tips for visual-intertial calibration on a ground robot. As this been done successfully before using Kalibr?
On a related note, I think my IMU sampling rate plots are not ideal so this might be the issue. Would this explain a near 0 translation?
Thanks!
data-report-imucam.pdf