Shypd.aiThe largest open index of AI tools3D-Occupancy-Perception is an Open Source research resource that surveys 3D occupancy perception for autonomous driving. It covers LiDAR-centric, vision-centric, and multi-modal approaches, focusing on information fusion techniques.
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3D-Occupancy-Perception is a comprehensive research resource dedicated to the field of 3D dense perception for autonomous driving. This active repository provides a systematic survey of the latest advancements, encompassing LiDAR-Centric, Vision-Centric, and Multi-Modal Occupancy Perception. It delves into core methodological issues, including network pipelines, multi-source information fusion, and effective network training. The resource also offers evaluations, detailed performance comparisons, and discussions on current limitations and future research directions. It aims to inspire further research and development in the autonomous driving community by curating and highlighting significant works in the domain.
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