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How to compute equation (38)? #2

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LeisureLei opened this issue Aug 18, 2021 · 6 comments
Open

How to compute equation (38)? #2

LeisureLei opened this issue Aug 18, 2021 · 6 comments

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@LeisureLei
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I am confusing how to compute equation (38) in "Kalman Filters on Differentiable Manifolds" even though I figure out the method in "The iterated kalman filter update as a gauss-newton method". They have different loss functions.
image

@LeisureLei
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Delta x_j is ok. But how to compute covariance P?

@Joanna-HE
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Using the one-order Taylor expansion to represent x_{k+1|k+1}^j through the value of x_{k+1|k}, then the covariance projection could be obtained.

@zuowei1998
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how to compute Delta x_j? thanks

@youzhenxing
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x_{k+1|k

Using the one-order Taylor expansion to represent x_{k+1|k+1}^j through the value of x_{k+1|k}, then the covariance projection could be obtained.

Hi,Joanna, I read the paper, and also have questions about the computations of J^j_{k+1}, just as you said, use the Taylor expansion, in that way, I found J^j_{k+1} = A(x_{k+1|k}) instead of J^j_{k+1} = A(\delta x^j_{k+1|k+1}), is there any misunderstanding? thanks.

@Joanna-HE
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Sorry for the late reply,
ikfom_issue

@Joanna-HE
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how to compute Delta x_j? thanks

Delta x_j = x_{k+1|k+1}^j \boxminus x_{k+1|k} as shown in the equation of calculating J_{k+1}^j.

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