Comments (1)
ad 1) The distance traveled is the last position minus the first position. (Do I miss something here?)
ad 2) "cumtrapz" provides the velocity value at eat time step.
ad "Kalman") If your data are in rad/sec, you have to apply np.rad2deg before you apply the Kalman filter.
from scikit-kinematics.
Related Issues (20)
- Denavit-Hartenberg convention HOT 2
- Real motion for test data HOT 1
- Sample rate vs. Sample period HOT 2
- Madgwick and Mahony 6Dof HOT 2
- initialization of orientation calculation for Kalman, Madgwick & Mahony HOT 3
- remove pos calculation from analytical(), make rotating q[0] to reference optional for all 4 orientation functions
- expose Kalman tunable parameters HOT 1
- the Kalman implementation questions HOT 2
- Madgwick and Mahony Update() does not support arrays with shape (N,3) HOT 1
- ImportError: cannot import name 'dist' from 'matplotlib.mlab' HOT 7
- Raspbian Buster installation anomaly
- Enable scikit-kinematics to run without OpenGL HOT 3
- ImuBase.calc_position wrongly uses normalized acc HOT 1
- Real time application HOT 3
- [question] IMU position estimate, bias issue?
- R_init doesn't work as intended with manual sensors. HOT 2
- assertion failure in tests/test_imus.py HOT 1
- Xens data file doesn't work HOT 9
- Tkinter is a dependency, but not listed anywhere
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from scikit-kinematics.