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by alex_be 64 days ago
It is always a good idea to include outliers treatment in KF algorithm to filter out weird measurements.
1 comments

Ah but then you just move the error case to outlier detection.
True. 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.