4 ms·
Yeah, I try to err on the side of not using them unless the accuracy obtained through more robust methods is just a no-go, because there are so many ways they c
by moffkalast 7mo ago
Yeah, I try to err on the side of not using them unless the accuracy obtained through more robust methods is just a no-go, because there are so many ways they can suddenly and irrecoverably fail if some sensor randomly produces something weird that wasn't accounted for. Which happens all the time in practice.
- alex_be 7mo agoIt is always a good idea to include outliers treatment in KF algorithm to filter out weird measurements.
- moffkalast 7mo agoAh but then you just move the error case to outlier detection.
- alex_be 7mo 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.