Publications

* denotes equal contribution.

2022

  1. DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks
    Peide Cai, Hengli Wang, Yuxiang Sun, and Ming Liu
    Under Review , 2022

2021

  1. Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning
    Peide Cai, Sukai Wang, Hengli Wang, and Ming Liu
    preprint , 2021
  2. Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning
    Peide Cai, Hengli Wang, Huaiyang Huang, Yuxuan Liu, and Ming Liu
    IEEE Robotics and Automation Letters (RA-L) &
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS‚Äč)
    , 2021
  3. DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic Scenarios with Graph Neural Networks
    Peide Cai, Hengli Wang, Yuxiang Sun, and Ming Liu
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS‚Äč) , 2021
  4. Learning interpretable end-to-end vision-based motion planning for autonomous driving with optical flow distillation
    Hengli Wang, Peide Cai, Yuxiang Sun, Lujia Wang, and Ming Liu
    In IEEE International Conference on Robotics and Automation (ICRA) , 2021
  5. PVStereo: Pyramid voting module for end-to-end self-supervised stereo matching
    Hengli Wang*, Rui Fan*, Peide Cai, and Ming Liu
    IEEE Robotics and Automation Letters (RA-L) &
    IEEE International Conference on Robotics and Automation (ICRA)
    , 2021
  6. Learning collision-free space detection from stereo images: Homography matrix brings better data augmentation
    Rui Fan*, Hengli Wang*, Peide Cai, Jin Wu, Mohammud Junaid Bocus, Lei Qiao, and Ming Liu
    IEEE/ASME Transactions on Mechatronics , 2021
  7. The role of the hercules autonomous vehicle during the COVID-19 pandemic: An autonomous logistic vehicle for contactless goods transportation
    Tianyu Liu, Qinghai Liao, Lu Gan, etc., Peide Cai, Yuxiang Sun, Yandong Liu, Lujia Wang, and Ming Liu
    IEEE Robotics and Automation Magazine &
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
    , 2021
  8. SNE-RoadSeg+: Rethinking depth-normal translation and deep supervision for freespace detection
    Hengli Wang*, Rui Fan*, Peide Cai, and Ming Liu
    In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2021
  9. End-to-end interactive prediction and planning with optical flow distillation for autonomous driving
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) , 2021
  10. PointMoSeg: Sparse Tensor-Based End-to-End Moving-Obstacle Segmentation in 3-D Lidar Point Clouds for Autonomous Driving
    Yuxiang Sun, Weixun Zuo, Huaiyang Huang, Peide Cai, and Ming Liu
    IEEE Robotics and Automation Letters (RA-L) &
    IEEE International Conference on Robotics and Automation (ICRA)
    , 2021
  11. DiTNet: End-to-End 3D Object Detection and Track ID Assignment in Spatio-Temporal World
    Sukai Wang, Peide Cai, Lujia Wang, and Ming Liu
    IEEE Robotics and Automation Letters (RA-L) &
    IEEE International Conference on Robotics and Automation (ICRA)
    , 2021

2020

  1. VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments
    Peide Cai, Yuxiang Sun, Hengli Wang, and Ming Liu
    IEEE Transactions on Intelligent Vehicles (T-IV) , 2020
  2. Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments With Multimodal Sensor Fusion
    Peide Cai, Sukai Wang, Yuxiang Sun, and Ming Liu
    IEEE Robotics and Automation Letters (RA-L) &
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS‚Äč)
    , 2020
  3. High-Speed Autonomous Drifting With Deep Reinforcement Learning
    Peide Cai*, Xiaodong Mei*, Lei Tai, Yuxiang Sun, and Ming Liu
    IEEE Robotics and Automation Letters (RA-L) &
    IEEE International Conference on Robotics and Automation (ICRA)
    , 2020
  4. SNE-RoadSeg: Incorporating surface normal information into semantic segmentation for accurate freespace detection
    Rui Fan*, Hengli Wang*, Peide Cai, and Ming Liu
    In European Conference on Computer Vision (ECCV) , 2020

2019

  1. Vision-Based Trajectory Planning via Imitation Learning for Autonomous Vehicles
    Peide Cai, Yuxiang Sun, Yuying Chen, and Ming Liu
    In IEEE Intelligent Transportation Systems Conference (ITSC) , 2019