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mit-han-lab/bevfusion

A multi-sensor fusion framework for autonomous driving that unifies camera and LiDAR data in bird's-eye view for 3D perception tasks.

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BEVFusion is an ICRA 2023 paper that addresses limitations of point-level sensor fusion by unifying camera and LiDAR features in a shared bird’s-eye view representation. It performs both 3D object detection and semantic segmentation tasks using a PyTorch-based architecture. The system ranks first on multiple 3D detection benchmarks including Waymo, nuScenes, and Argoverse.

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