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alex_be
28 days ago
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Understanding the Kalman filter with a simple rada...
It is always a good idea to include outliers treatment in KF algorithm to filter out weird measurements.
moffkalast
28 days ago
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Ah but then you just move the error case to outlier detection.
alex_be
28 days ago
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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.
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