Xiaodong Mei

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Temporal Planning

Anchovy Catches

Reinforcement Learning

Autonomous Driving

Top Venues

IEEE Robotics Autom. Lett.

IEEE Trans. Intell. Transp. Syst.

Publications

Yingbing Chen, Jie Cheng, Lu Gan, Sheng Wang, Hongji Liu, Xiaodong Mei, Ming Liu
IR-STP: Enhancing Autonomous Driving With Interaction Reasoning in Spatio-Temporal Planning. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
Jie Cheng, Yingbing Chen, Xiaodong Mei, Bowen Yang, Bo Li, Ming Liu
Rethinking Imitation-based Planners for Autonomous Driving. ICRA (2024)
Sheng Wang, Yingbing Chen, Jie Cheng, Xiaodong Mei, Ren Xin, Yongkang Song, Ming Liu
Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions. ICRA (2024)
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
Enhancing Campus Mobility: Achievements and Challenges of Autonomous Shuttle "Snow Lion". CoRR (2024)
Sheng Wang, Ren Xin, Jie Cheng, Xiaodong Mei, Ming Liu
FCUS: Traffic Rule-Aware Vehicle Trajectory Forecasting Using Continuous Unlikelihood and Signal Temporal Logic Feature. ROBIO (2023)
Jie Cheng, Xiaodong Mei, Ming Liu
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders. ICCV (2023)
Jie Cheng, Xiaodong Mei, Ming Liu
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders. CoRR (2023)
Sheng Wang, Yingbing Chen, Jie Cheng, Xiaodong Mei, Yongkang Song, Ming Liu
Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions. CoRR (2023)
Yingbing Chen, Jie Cheng, Lu Gan, Sheng Wang, Hongji Liu, Xiaodong Mei, Ming Liu
IR-STP: Enhancing Autonomous Driving with Interaction Reasoning in Spatio-Temporal Planning. CoRR (2023)
Jie Cheng, Yingbing Chen, Xiaodong Mei, Bowen Yang, Bo Li, Ming Liu
Rethinking Imitation-based Planner for Autonomous Driving. CoRR (2023)
Yingbing Chen, Ren Xin, Jie Cheng, Qingwen Zhang, Xiaodong Mei, Ming Liu, Lujia Wang
Efficient Speed Planning for Autonomous Driving in Dynamic Environment With Interaction Point Model. IEEE Robotics Autom. Lett. 7 (4) (2022)
Yuying Chen, Congcong Liu, Xiaodong Mei, Bertram E. Shi, Ming Liu
HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction. IROS (2022)
Yingbing Chen, Ren Xin, Jie Cheng, Qingwen Zhang, Xiaodong Mei, Ming Liu, Lujia Wang
Efficient Speed Planning for Autonomous Driving in Dynamic Environment with Interaction Point Model. CoRR (2022)
Xiaodong Mei, Yuxiang Sun, Yuying Chen, Congcong Liu, Ming Liu
Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars. CoRR (2021)
Peide Cai, Xiaodong Mei, Lei Tai, Yuxiang Sun, Ming Liu
High-Speed Autonomous Drifting With Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 5 (2) (2020)
Peide Cai, Xiaodong Mei, Lei Tai, Yuxiang Sun, Ming Liu
High-speed Autonomous Drifting with Deep Reinforcement Learning. CoRR (2020)