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How to combine the error function(GICP) with GTSAM? (on KITTI dataset)
@koide3 Hi author and everyone,
Currently, I am doing the experiment on KITTI dataset.
My approach is that I construct a pose graph with relative pose constraints between the consecutive frames. Then I use GTSAM to optimize the pose graph. Then, I again optimize the sensor poses using pose graph optimization and global registration error minimization (based on GICP scan matching for all frame pairs).
Is my approach right? If it's right, please tell me how to apply the error of GICP error to GTSAM. (Can anyone explain in detail?)
Thank you very much
How to compute the Jacobian based on the residual?
Implement this approach with g2o framework
@koide3 Hi author and everyone,
Currently, I am using g2o to optimize graph. But I want to implement this approach (based on the GICP score) to improve the result. I have some questions:
1> When implementing the GICP factor class, what class can I derive from?
2> Does the error function of the GICP factor class return the score between two corresponding point clouds, representing their respective poses?
3> What are the meanings of parameters like H, b, c in the quadratic function within the GICP factor?
I hope the author and everyone can help me with the answers.
Sincerely.
When the paper <Exact Point Cloud Downsampling for Fast and Accurate Global Trajectory Optimization> will be release?
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