Comments (1)
First of all I have to point that the UKFM examples in manif
are wrong and listed on my todo list for a fix. You should therefore refer the kalmanif
implementation as the most up to date.
To answer your question clearly, the covariance P
is expressed in the global frame at the group origin.
Note that the README states: Both the IEKF and UKFM filters are implemented in their 'right invariant' flavor. However they are able to handle both 'right' and 'left' measurements
.
The conditional invariance you've linked to is only related to the measurement model used.
This being said, this topic isn't trivial and a little far in my memories. That's why I have just added some old and partial notes on the invariance topic. They are based on [1] and other publications from the same authors/group.
Mind that the right/left invariance definition comes from this line of work and may be a little confusing with respect to our definition of right/left box-plus. Indeed they are somewhat inversed in that the right invariance is naturally associated with the left box-minus and the left invariance goes in pair with the right box-minus. This is all detailed in eqs (7-10) in the notes.
Let me know if those notes are any useful and if you have any further question.
[1] “The Invariant Extended Kalman Filter as a Stable Observer” A. Barrau and S. Bonnabel.
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Related Issues (11)
- observation model: non constant covariance HOT 2
- Handle measurement models which return group, but not the Eigen vector. HOT 7
- Question. Which paper was used for the scaled unscented transform?
- Test and examples building and running problems. HOT 11
- Handle SE(3) measurement by invariant EKF
- How long is the demo? HOT 2
- Where are the plots of demo_se3? HOT 2
- Manually-specified variables were not used by the project: HOT 2
- Request for an example.
- Question: manif Bundle<> or other ways to support composite/compound state. HOT 4
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