Robust Self-Supervised LiDAR Odometry Via Representative Structure Discovery and 3D Inherent Error Modeling
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DOI: 10.1109/lra.2022.3140794
Abstract: The correct ego-motion estimation basically relies on the understanding of correspondences between adjacent LiDAR scans. However, given the complex scenarios and the low-resolution LiDAR, finding reliable structures for identifying correspondences can be challenging. In this… read more here.
Keywords: odometry; lidar odometry; self supervised; ego motion ... See more keywords