A deep correspondence pipeline for joint target-less estimation of pinhole camera intrinsics with radial-tangential distortion and camera-LiDAR extrinsics, evaluated on KITTI.
Are we ready for autonomous driving? the kitti vision benchmark suite
2 Pith papers cite this work. Polarity classification is still indexing.
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FugSeg achieves superior accuracy and speed in LiDAR ground segmentation by using polar grids, uncertainty-incorporating adaptive slopes, and explicit noise handling for isolated and occluded ground areas.
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Joint Target-Less Intrinsic and Extrinsic Camera-LiDAR Calibration using Deep Point Correspondences
A deep correspondence pipeline for joint target-less estimation of pinhole camera intrinsics with radial-tangential distortion and camera-LiDAR extrinsics, evaluated on KITTI.
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FugSeg: Fast Uncertainty-aware Ground Segmentation for 3D Point Cloud
FugSeg achieves superior accuracy and speed in LiDAR ground segmentation by using polar grids, uncertainty-incorporating adaptive slopes, and explicit noise handling for isolated and occluded ground areas.