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Thank you for providing this excellent library and easy-to-use API for IEKF.
I am currently exploring the invariant_extended_kalman_filter.h and was wondering if it's possible to implement a Mahalanobis distance gating for the IEKF update. This would allow us to perform the following check:
if (iekf.mahalanobis_dist(measurement_model, y) < ThresholdValue) {
iekf.update(measurement_model, y);
} else {
// Output a warning that y could be an outlier and isn't fused in the IEKF
}
The text was updated successfully, but these errors were encountered:
Thank you for providing this excellent library and easy-to-use API for IEKF.
I am currently exploring the invariant_extended_kalman_filter.h and was wondering if it's possible to implement a Mahalanobis distance gating for the IEKF update. This would allow us to perform the following check:
The text was updated successfully, but these errors were encountered: