Vision-Based Trajectory Planning via Imitation Learning for Autonomous Vehicles. - Peide Cai; Yuxiang Sun; Yuying Chen; Ming Liu 001 (ITSC, 2019)

SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection. - Rui Fan 001; Hengli Wang; Peide Cai; Ming Liu 001 (ECCV (30), 2020)

Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak. - Tianyu Liu; Qinghai Liao; Lu Gan 001; Fulong Ma; Jie Cheng 008; Xupeng Xie; Zhe Wang 013; Yingbing Chen; Yilong Zhu; Shuyang Zhang; Zhengyong Chen; Yang Liu 208; et al. (CoRR, 2020)

Learning Scalable Self-Driving Policies for Generic Traffic Scenarios. - Peide Cai; Hengli Wang; Yuxiang Sun; Ming Liu 001 (CoRR, 2020)

Learning Collision-Free Space Detection from Stereo Images: Homography Matrix Brings Better Data Augmentation. - Rui Fan 001; Hengli Wang; Peide Cai; Jin Wu 002; Mohammud Junaid Bocus; Lei Qiao 001; Ming Liu 001 (CoRR, 2020)

High-Speed Autonomous Drifting With Deep Reinforcement Learning. - Peide Cai; Xiaodong Mei 001; Lei Tai; Yuxiang Sun; Ming Liu 001 (IEEE Robotics Autom. Lett., 2020)

Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments With Multimodal Sensor Fusion. - Peide Cai; Sukai Wang; Yuxiang Sun; Ming Liu 001 (IEEE Robotics Autom. Lett., 2020)

End-to-End Interactive Prediction and Planning With Optical Flow Distillation for Autonomous Driving. - Hengli Wang; Peide Cai; Rui Fan 001; Yuxiang Sun; Ming Liu 001 (CVPR Workshops, 2021)

Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation. - Hengli Wang; Peide Cai; Yuxiang Sun; Lujia Wang 001; Ming Liu 001 (ICRA, 2021)

DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic Scenarios with Graph Neural Networks. - Peide Cai; Hengli Wang; Yuxiang Sun; Ming Liu 001 (IROS, 2021)

SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection. - Hengli Wang; Rui Fan 001; Peide Cai; Ming Liu 001 (IROS, 2021)

R-PCC: A Baseline for Range Image-based Point Cloud Compression. - Sukai Wang; Jianhao Jiao; Peide Cai; Ming Liu 001 (CoRR, 2021)

Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning. - Peide Cai; Sukai Wang; Hengli Wang; Ming Liu 001 (CoRR, 2021)

Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning. - Peide Cai; Hengli Wang; Huaiyang Huang; Yuxuan Liu 008; Ming Liu 001 (IEEE Robotics Autom. Lett., 2021)

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; Ming Liu 001 (IEEE Robotics Autom. Lett., 2021)

DiTNet: End-to-End 3D Object Detection and Track ID Assignment in Spatio-Temporal World. - Sukai Wang; Peide Cai; Lujia Wang 001; Ming Liu 001 (IEEE Robotics Autom. Lett., 2021)

PVStereo: Pyramid Voting Module for End-to-End Self-Supervised Stereo Matching. - Hengli Wang; Rui Fan 001; Peide Cai; Ming Liu 001 (IEEE Robotics Autom. Lett., 2021)

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 001; Fulong Ma; Jie Cheng 008; Xupeng Xie; Zhe Wang 013; Yingbing Chen; Yilong Zhu; Shuyang Zhang; Zhengyong Chen; Yang Liu 208; et al. (IEEE Robotics Autom. Mag., 2021)

VTGNet: A Vision-Based Trajectory Generation Network for Autonomous Vehicles in Urban Environments. - Peide Cai; Yuxiang Sun; Hengli Wang; Ming Liu 001 (IEEE Trans. Intell. Veh., 2021)

UnDAF: A General Unsupervised Domain Adaptation Framework for Disparity or Optical Flow Estimation. - Hengli Wang; Rui Fan 001; Peide Cai; Ming Liu 001; Lujia Wang 001 (ICRA, 2022)

R-PCC: A Baseline for Range Image-based Point Cloud Compression. - Sukai Wang; Jianhao Jiao; Peide Cai; Lujia Wang 001 (ICRA, 2022)

Correcton to "DiTNet: End-to-End 3D Object Detection and Track ID Assignment in Spatio-temporal World". - Sukai Wang; Peide Cai; Lujia Wang 001; Ming Liu 001 (IEEE Robotics Autom. Lett., 2022)

DQ-GAT: Towards Safe and Efficient Autonomous Driving With Deep Q-Learning and Graph Attention Networks. - Peide Cai; Hengli Wang; Yuxiang Sun; Ming Liu 001 (IEEE Trans. Intell. Transp. Syst., 2022)