The question about the Jacobian derivation in IESKF::update()?

[Freeecode]

Hi, thanks for sharing the work! I was checking the code and found some difference compared to ig-lio, especially in convariance update and constructing IMU prior constraint. For example, when constructing IMU prior constraint, the jacobian about current state in ig-lio is
while in your code is and I checked the details in the paper and other paper: and the problem also appear in convariance update, in ig-lio: while in in your code : if the LIO is ok, I think the jacobian maybe is approximately identity matrix.

[liangheming]

Thank you for your careful inspection，you are right, I have really made a big mistake. it should be "Jr_inv", not "Jr";

[Freeecode]

Hi, the functions of convariance update are aslo different. I checked the formulation in ig-lio and I found that is similar to -Jl_inv: about this question, do you have any ideas?

[liangheming]

i think the author missed a transpose(), P_ = L.transpose() temp L

[Freeecode]

yes, in the ig-lio code, the author missed a transpose for L, and the computation of matrix L confused me, which is a derivation of state?

[liangheming]

[Freeecode]

用中文吧，整个过程是我是清楚，就是在计算L矩阵时，我看需要计算雅克比矩阵，如下图所示 而在你的代码中，这部分也在计算雅克比矩阵 ig-lio中L的计算，这个雅克比的形式应该是Jl_inv，这个雅克比矩阵应该是对更新之前的位姿进行求导

[liangheming]

最后一步是误差卡尔曼的修正过程，在《Quaternion kinematics for the error-state KF》 第64页的6.3节ESKF reset有直接的结论, IG LIO 的作者应该是用了这里的结论，但是这个雅可比其实误差状态对更新前误差的导数(文字描述还是有歧义，你直接看论文中的公式，或许会更好理解)

[Freeecode]

好的，谢谢！