ADLab of Shanghai AI Lab

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This is the official website of ADLab (ADG at Shanghai AI Laboratory).

As a research team affiliated with the Shanghai Artificial Intelligence Laboratory, ADLab is at the forefront of autonomous driving research. Our current endeavor involves developing a next-generation autonomous driving system by integrating human knowledge and common sense reasoning. We believe that this knowledge-driven paradigm will elevate the reliability and generalizability of autonomous driving systems to unprecedented levels.

Our dynamic team consists of approximately 20 talented faculty members and over 20 interns with huge potential (including full-time research interns and joint Ph.D. students).

Join our ranks and be a part of shaping the future of this pioneering technology.

news

Jan 16, 2024 🍻 Two of our papers are accepted by ICLR-2024.
Sep 21, 2023 🍻 Two of our papers are accepted by NeurIPS-2023.
Jul 31, 2023 🍻 One of our papers is accepted by ITSC-2023.
Jul 14, 2023 🍻 Four of our papers are accepted by ICCV-2023.
Mar 6, 2023 Congratulations! Our LoGoNet_Ens v2 Achieves a new SOTA on Waymo Open Dataset 3D Detection Leaderboard!

selected publications

  1. arXiv
    OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving
    Guohang Yan, Jiahao Pi, Jianfei Guo, Zhaotong Luo, Min Dou, Nianchen Deng, Qiusheng Huang, Daocheng Fu, Licheng Wen, Pinlong Cai, and  others
    arXiv preprint arXiv:2402.03830, 2024
  2. arXiv
    LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving
    Daocheng Fu, Wenjie Lei, Licheng Wen, Pinlong Cai, Song Mao, Min Dou, Botian Shi, and Yu Qiao
    arXiv preprint arXiv:2402.01246, 2024
  3. ICLR
    DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
    Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, MA Tao, Pinlong Cai, Min Dou, Botian Shi, Liang He, and Yu Qiao
    In The Twelfth International Conference on Learning Representations, 2024
    PDF
  4. ICLR
    ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
    Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, and Yu Qiao
    In The Twelfth International Conference on Learning Representations, 2024
    PDF
  5. arXiv
    Towards knowledge-driven autonomous driving
    Xin Li, Yeqi Bai, Pinlong Cai, Licheng Wen, Daocheng Fu, Bo Zhang, Xuemeng Yang, Xinyu Cai, Tao Ma, Jianfei Guo, and  others
    arXiv preprint arXiv:2312.04316, 2023
  6. arXiv
    Streetsurf: Extending multi-view implicit surface reconstruction to street views
    Jianfei Guo, Nianchen Deng, Xinyang Li, Yeqi Bai, Botian Shi, Chiyu Wang, Chenjing Ding, Dongliang Wang, and Yikang Li
    arXiv preprint arXiv:2306.04988, 2023
  7. arXiv
    Drive like a human: Rethinking autonomous driving with large language models
    Daocheng Fu, Xin Li, Licheng Wen, Min Dou, Pinlong Cai, Botian Shi, and Yu Qiao
    arXiv preprint arXiv:2307.07162, 2023
  8. NeurIPS
    RangePerception: Taming LiDAR Range View for Efficient and Accurate 3D Object Detection
    Yeqi Bai, Ben Fei, Youquan Liu, Tao Ma, Yuenan Hou, Botian Shi, and Yikang Li
    Advances in Neural Information Processing Systems, 2023
  9. NeurIPS
    AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
    Jiakang Yuan, Bo Zhang, Xiangchao Yan, Tao Chen, Botian Shi, Yikang Li, and Yu Qiao
    Advances in Neural Information Processing Systems, 2023
  10. ITSC
    LimSim: A Long-term Interactive Multi-scenario Traffic Simulator
    Licheng Wen, Daocheng Fu, Song Mao, Pinlong Cai, Min Dou, and Yikang Li
    IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2023
  11. ICCV
    DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds
    Tao Ma, Xuemeng Yang, Hongbin Zhou, Xin Li, Botian Shi, Junjie Liu, Yuchen Yang, Zhizheng Liu, Liang He, Yu Qiao, Yikang Li, and Hongsheng Li
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
  12. CVPR
    Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection
    Bo Zhang, Jiakang Yuan, Botian Shi, Tao Chen, Yikang Li, and Yu Qiao
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
    HTML PDF
  13. CVPR
    Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection
    Jiakang Yuan, Bo Zhang, Xiangchao Yan, Tao Chen, Botian Shi, Yikang Li, and Yu Qiao
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
    HTML PDF
  14. CVPR
    LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion
    Xin Li, Tao Ma, Yuenan Hou, Botian Shi, Yucheng Yang, Youquan Liu, Xingjiao Wu, Qin Chen, Yikang Li, Yu Qiao, and Liang He
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
    HTML PDF
  15. ICRA
    Joint Camera Intrinsic and Lidar-Camera Extrinsic Calibration
    Guohang Yan, Feiyu He, Chunlei Shi, Xinyu Cai, and Yikang Li
    International Conference on Robotics and Automation (ICRA), 2023
    HTML PDF