AI RESEARCH
Learning Geometric and Photometric Features from Panoramic LiDAR Scans for Outdoor Place Categorization
arXiv CS.CV
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ArXi:2603.12663v1 Announce Type: new Semantic place categorization, which is one of the essential tasks for autonomous robots and vehicles, allows them to have capabilities of self-decision and navigation in unfamiliar environments. In particular, outdoor places are difficult targets than indoor ones due to perceptual variations, such as dynamic illuminance over twenty-four hours and occlusions by cars and pedestrians.