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.
Real-time probabilistic fusion of sparse 3d lidar and dense stereo
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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.