Shypd.aiThe largest open index of AI toolsAwesome-BEV-Perception-Multi-Cameras is an academic research tool that curates papers on multi-camera 3D object detection and segmentation in bird's-eye-view. It provides a comprehensive list of resources for researchers and engineers in autonomous driving.
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Awesome-BEV-Perception-Multi-Cameras is a valuable resource for researchers and engineers focused on multi-camera 3D object detection and segmentation within the Bird's-Eye-View (BEV) paradigm. This curated list compiles significant academic papers, including influential works like DETR3D, BEVDet, BEVFormer, BEVDepth, and UniAD. It categorizes papers by key themes such as Longterm BEV, BEV + Stereo, End to End BEV Perception, BEV + Distillation, Robust BEV, Fast BEV, HD Map Construction, Multi-sensor fusion, Survey, Occupancy Network, and Pre-training. Each entry typically includes a link to the paper and its corresponding GitHub repository, making it easy for users to access the research and associated codebases. This tool is essential for staying updated with the latest advancements in vision-centric autonomous driving perception.
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