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**If you are interested in getting updates, please sign up [here](https://docs.google.com/forms/d/e/1FAIpQLSfkmfsX45HstL5rUQlS7xJthhS3Z_Pm2NOVstlXUqgaK4DEfQ/viewform) to get notified!**
- **(2023/1/16)** BEVFusion is accepted to ICRA 2023!
- **(2022/8/16)** BEVFusion ranks first on [Waymo](https://waymo.com/open/challenges/2020/3d-detection/) 3D object detection leaderboard among all solutions.
- **(2022/6/3)** BEVFusion ranks first on [nuScenes](https://nuscenes.org/object-detection?externalData=all&mapData=all&modalities=Any) among all solutions.
- **(2022/6/3)** We released the first version of BEVFusion (with pre-trained checkpoints and evaluation).
@ -213,10 +214,10 @@ Please also check out related papers in the camera-only 3D perception community
If BEVFusion is useful or relevant to your research, please kindly recognize our contributions by citing our paper:
```bibtex
@article{liu2022bevfusion,
@inproceedings{liu2022bevfusion,
title={BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation},
author={Liu, Zhijian and Tang, Haotian and Amini, Alexander and Yang, Xingyu and Mao, Huizi and Rus, Daniela and Han, Song},
journal={arXiv},
year={2022}
booktitle={IEEE International Conference on Robotics and Automation (ICRA)},
year={2023}
}
```