Peide Cai

According to our database, Peide Cai authored at least 23 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

IEEE Trans. Intell. Transp. Syst., 2022

Correcton to "DiTNet: End-to-End 3D Object Detection and Track ID Assignment in Spatio-temporal World".

Sukai Wang, Peide Cai, Lujia Wang, Ming Liu

IEEE Robotics Autom. Lett., 2022

R-PCC: A Baseline for Range Image-based Point Cloud Compression.

Sukai Wang, Jianhao Jiao, Peide Cai, Lujia Wang

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

UnDAF: A General Unsupervised Domain Adaptation Framework for Disparity or Optical Flow Estimation.

Hengli Wang, Rui Fan, Peide Cai, Ming Liu, Lujia Wang

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

VTGNet: A Vision-Based Trajectory Generation Network for Autonomous Vehicles in Urban Environments.

Peide Cai, Yuxiang Sun, Hengli Wang, Ming Liu

IEEE Trans. Intell. Veh., 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, Fulong Ma, Jie Cheng, Xupeng Xie, Zhe Wang, Yingbing Chen, Yilong Zhu, Shuyang Zhang, Zhengyong Chen, Yang Liu, Meng Xie, Yang Yu, Zitong Guo, Guang Li, Peidong Yuan, Dong Han, Yuying Chen, Haoyang Ye, Jianhao Jiao, Peng Yun, Zhenhua Xu, Hengli Wang, Huaiyang Huang, Sukai Wang, Peide Cai, Yuxiang Sun, Yandong Liu, Lujia Wang, Ming Liu

IEEE Robotics Autom. Mag., 2021

PVStereo: Pyramid Voting Module for End-to-End Self-Supervised Stereo Matching.

Hengli Wang, Rui Fan, Peide Cai, Ming Liu

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, Ming Liu

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

IEEE Robotics Autom. Lett., 2021

Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning.

Peide Cai, Hengli Wang, Huaiyang Huang, Yuxuan Liu, Ming Liu

IEEE Robotics Autom. Lett., 2021

Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning.

Peide Cai, Sukai Wang, Hengli Wang, Ming Liu

CoRR, 2021

R-PCC: A Baseline for Range Image-based Point Cloud Compression.

Sukai Wang, Jianhao Jiao, Peide Cai, Ming Liu

CoRR, 2021

SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection.

Hengli Wang, Rui Fan, Peide Cai, Ming Liu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic Scenarios with Graph Neural Networks.

Peide Cai, Hengli Wang, Yuxiang Sun, Ming Liu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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, Ming Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

End-to-End Interactive Prediction and Planning With Optical Flow Distillation for Autonomous Driving.

Hengli Wang, Peide Cai, Rui Fan, Yuxiang Sun, Ming Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments With Multimodal Sensor Fusion.

Peide Cai, Sukai Wang, Yuxiang Sun, Ming Liu

IEEE Robotics Autom. Lett., 2020

High-Speed Autonomous Drifting With Deep Reinforcement Learning.

Peide Cai, Xiaodong Mei, Lei Tai, Yuxiang Sun, Ming Liu

IEEE Robotics Autom. Lett., 2020

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, Ming Liu

CoRR, 2020

Learning Scalable Self-Driving Policies for Generic Traffic Scenarios.

Peide Cai, Hengli Wang, Yuxiang Sun, Ming Liu

CoRR, 2020

Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak.

Tianyu Liu, Qinghai Liao, Lu Gan, Fulong Ma, Jie Cheng, Xupeng Xie, Zhe Wang, Yingbing Chen, Yilong Zhu, Shuyang Zhang, Zhengyong Chen, Yang Liu, Yang Yu, Zitong Guo, Guang Li, Peidong Yuan, Dong Han, Yuying Chen, Haoyang Ye, Jianhao Jiao, Peng Yun, Zhenhua Xu, Hengli Wang, Huaiyang Huang, Sukai Wang, Peide Cai, Yuxiang Sun, Yandong Liu, Lujia Wang, Ming Liu

CoRR, 2020

SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection.

Rui Fan, Hengli Wang, Peide Cai, Ming Liu

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Vision-Based Trajectory Planning via Imitation Learning for Autonomous Vehicles.

Peide Cai, Yuxiang Sun, Yuying Chen, Ming Liu

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019