V2X-BGN: Camera-based V2X-Collaborative 3D Object Detection with BEV Global Non-Maximum Suppression

Author:

Zhang Caiji1,Tian Bin2,Meng Shi3,Qi Shuangying4,Sun Yang5,Ai Yunfeng6,Chen Long7

Affiliation:

1. University of Chinese Academy of Sciences, and With the National Key Laboratory for Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences,School of Artificial Intelligence,Beijing,China,100190

2. Institute of Automation, Chinese Academy of Sciences, and With the School of Artificial Intelligence, University of Chinese Academy of Sciences,Bin Tian is With the National Key Laboratory for Multi-Modal Artificial Intelligence Systems,Beijing,China,100190

3. Institute of Automation, Chinese Academy of Sciences, and With the School of Artificial Intelligence, University of Chinese Academy of Sciences,National Key Laboratory for Multi-Modal Artificial Intelligence Systems,Beijing,China,100190

4. Chongqing Iron and Steel Group Mining Co., Ltd.,Chongqing,China,400050

5. Hebei University of Engineering,School of Mechanical and Equipment Engineering,Handan,China,056038

6. University of Chinese Academy of Sciences,School of Artificial Intelligence,Beijing,China,100049

7. Sun Yat-Sen University,School of Computer Science and Engineering,Guangzhou,China,510275

Funder

Research and Development

Natural Science Foundation of Hebei Province

Publisher

IEEE

Reference29 articles.

1. Attention is all you need[J];Vaswani;Advances in neural information processing systems,2017

2. An image is worth 16x16 words: Transformers for image recognition at scale[J];Dosovitskiy,2020

3. End-to-End Object Detection with Transformers

4. BEVFormer: Learning Bird’s-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers

5. nuScenes: A Multimodal Dataset for Autonomous Driving

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