Comments (2)
In order to solve the calibration problem, Livox provides an automatic calibration tool. This technology mainly relies on the isomorphic constraint assumption model of the environment to realize automatic calibration, and only needs to use the original point cloud data of the base LiDAR and target LiDAR. Our tool first mapping the environment by using the Base LiDAR data. Then we use the target LiDAR data to continuously iteratively register to the reconstructed map, relying on the constant assumption of the rigidity of geometric structure to continuously reduce the matching error until the algorithm converges And meets the rigidity invariant characteristic of the calibration matrix (six parallel lines). Finally, a consensus algorithm is used to calculate the final calibration matrix.
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@Livox-SDK thanks for the explanation. I would close the issue.
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Related Issues (12)
- Error in local map building HOT 6
- Assertion 'resolution > 0.0f' failed HOT 1
- 关于用角度直接求平均可能带来的问题
- calibration program “terminate called after throwing an instance of 'std::length_error' “ HOT 1
- Error in calibration program HOT 7
- Where can I download this file H_LiDAR_Map.pcd? HOT 1
- fitline process not use ransac algorithm to fit a line HOT 3
- some compile errors for PCL 1.8 in windows platform. HOT 1
- terminate called after throwing an instance of 'std::length_error' what(): vector::reserve HOT 5
- zero results
- Is it suitable for calibration between two PCD files?
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