6 ms·
It is always a good idea to include outliers treatment in KF algorithm to filter out weird measurements.
by alex_be 5mo ago
It is always a good idea to include outliers treatment in KF algorithm to filter out weird measurements.
- moffkalast 5mo agoAh but then you just move the error case to outlier detection.
- alex_be 5mo agoTrue. It's about managing the risk rather than eliminating it. If you remove an outlier, you get a missing measurement and, as a result, higher uncertainty (error). But it is still better than keeping the outlier.