https://github.com/hhyyti/dcm-imu
Tip revision: 762992befcc87be972f9d07c01d039889b545f23 authored by Heikki Hyyti on 05 January 2020, 12:31:36 UTC
This updated version has forced symmetry of covariance matrices that reduces computational complexity of the filter significantly. In addition, it divides measurement with g0 before feeding it to filter which increases the stability as covariance matrix update is done with smaller weights (g0^6 vs 1).
This updated version has forced symmetry of covariance matrices that reduces computational complexity of the filter significantly. In addition, it divides measurement with g0 before feeding it to filter which increases the stability as covariance matrix update is done with smaller weights (g0^6 vs 1).
Tip revision: 762992b
| File | Mode | Size |
|---|---|---|
| @DCM_IMU | ||
| c | ||
| IMUcalibIteration.m | -rw-r--r-- | 2.1 KB |
| MIT-LICENSE.txt | -rw-r--r-- | 1.1 KB |
| README.md | -rw-r--r-- | 2.5 KB |
| allData.mat | -rw-r--r-- | 65.9 MB |
| fitRegressionLine.m | -rw-r--r-- | 1.5 KB |
| imusWithKukaCalibration.m | -rw-r--r-- | 23.6 KB |
| legendLocation.m | -rw-r--r-- | 2.2 KB |
| plotIMUsWithKuka.m | -rw-r--r-- | 48.2 KB |
| plotIMUsWithKuka_biasTest.m | -rw-r--r-- | 23.0 KB |
| rootMeanSquaredErrors.m | -rw-r--r-- | 1.6 KB |
| un_modulo.m | -rw-r--r-- | 1.7 KB |
| yawpitchroll.m | -rw-r--r-- | 1.3 KB |
