Xiaodong Mei

According to our database, Xiaodong Mei authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

IR-STP: Enhancing Autonomous Driving With Interaction Reasoning in Spatio-Temporal Planning.

Yingbing Chen, Jie Cheng, Lu Gan, Sheng Wang, Hongji Liu, Xiaodong Mei, Ming Liu

IEEE Trans. Intell. Transp. Syst., August, 2024

Enhancing Campus Mobility: Achievements and Challenges of Autonomous Shuttle "Snow Lion".

Yingbing Chen, Jie Cheng, Sheng Wang, Hongji Liu, Xiaodong Mei, Xiaoyang Yan, Mingkai Tang, Ge Sun, Ya Wen, Junwei Cai, Xupeng Xie, Lu Gan, Mandan Chao, Ren Xin, Ming Liu, Jianhao Jiao, Kangcheng Liu, Lujia Wang

CoRR, 2024

Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions.

Sheng Wang, Yingbing Chen, Jie Cheng, Xiaodong Mei, Ren Xin, Yongkang Song, Ming Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Rethinking Imitation-based Planners for Autonomous Driving.

Jie Cheng, Yingbing Chen, Xiaodong Mei, Bowen Yang, Bo Li, Ming Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions.

Sheng Wang, Yingbing Chen, Jie Cheng, Xiaodong Mei, Yongkang Song, Ming Liu

CoRR, 2023

Rethinking Imitation-based Planner for Autonomous Driving.

Jie Cheng, Yingbing Chen, Xiaodong Mei, Bowen Yang, Bo Li, Ming Liu

CoRR, 2023

FCUS: Traffic Rule-Aware Vehicle Trajectory Forecasting Using Continuous Unlikelihood and Signal Temporal Logic Feature.

Sheng Wang, Ren Xin, Jie Cheng, Xiaodong Mei, Ming Liu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders.

Jie Cheng, Xiaodong Mei, Ming Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Efficient Speed Planning for Autonomous Driving in Dynamic Environment With Interaction Point Model.

Yingbing Chen, Ren Xin, Jie Cheng, Qingwen Zhang, Xiaodong Mei, Ming Liu, Lujia Wang

IEEE Robotics Autom. Lett., 2022

HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction.

Yuying Chen, Congcong Liu, Xiaodong Mei, Bertram E. Shi, Ming Liu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars.

Xiaodong Mei, Yuxiang Sun, Yuying Chen, Congcong Liu, Ming Liu

CoRR, 2021

2020

High-Speed Autonomous Drifting With Deep Reinforcement Learning.

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

IEEE Robotics Autom. Lett., 2020