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question about the measurementH of VO #5
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@SkyPigZhu the formula of the measurement Jacobian in code |
ok, thanks , and I find that if the measurement is not very accurate(such as the position has a average error of 15 mm , angle error is 5-6degree), the eskf system's perfoemance is not very good , the corrected vel is not accurate , and the corrected positoion will be volatility, can give some suggestions about the problem? |
Eigen::Quaterniond q1(vo_q.toRotationMatrix() * Tcb.linear()); why the code is q1 = vo_q.toRotationMatrix() * Tcb.linear() ,but thr formula in article is q1= cb.linear()? |
the formula of the measurement Jacobian in code the definition of measurement residual and Jacobian matrix in the code is as below: |
@SkyPigZhu it is a demo project that i wrote to study and practice sensor fusion algrithms, and it is not accuracy and robust in some cases. you can optimize it and fork and pull request. |
@cggos Thanks for your codes. Besides what is the meaning of the subscript bn in the measurement function h(x)? |
presentation of the algorithm: https://www.researchgate.net/publication/353330937_IMU_and_VO_Loose_Fusion_based_on_ESKF |
@cggos Are you sure it is bn instead of bm? |
@zzhh00 you can reference the sketch below which the code based on or the presentation/publication in ResearchGate |
@cggos Thanks for your reply. However why the measurement is not Tc0cm? As your formula, the measurement is Tc0cm*Tcmcn=Tc0cn. It is obvious that cm refers to the measurement frame from camera. We get the Tcmcn through imu, why we use the value of imu in the measurement function? |
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@cggos Thank you. |
I see code "Eigen::Quaterniond q1(vo_q.toRotationMatrix() * Tcb.linear());"
Is not the same as the formula in your article
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