AI RESEARCH
TerraSeg: Self-Supervised Ground Segmentation for Any LiDAR
arXiv CS.CV
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ArXi:2603.27344v1 Announce Type: new LiDAR perception is fundamental to robotics, enabling machines to understand their environment in 3D. A crucial task for LiDAR-based scene understanding and navigation is ground segmentation. However, existing methods are either handcrafted for specific sensor configurations or rely on costly per-point manual labels, severely limiting their generalization and scalability. To overcome this, we