Joint optimization of bundle adjustment and point cloud registration produces dense 3D reconstructions with 2.7 mm average accuracy and 70 points per cm² resolution while outperforming prior extrinsic calibration methods.
Automatic extrinsic calibration of a camera and a 3d lidar using line and plane correspondences
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A Joint Optimization Approach of LiDAR-Camera Fusion for Accurate Dense 3D Reconstructions
Joint optimization of bundle adjustment and point cloud registration produces dense 3D reconstructions with 2.7 mm average accuracy and 70 points per cm² resolution while outperforming prior extrinsic calibration methods.