Xiaodong Mei

Orcid: 0000-0002-4687-6345

Affiliations:
  • Hong Kong University of Science and Technology, Hong Kong, SAR, China


According to our database1, Xiaodong Mei authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
IR-STP: Enhancing Autonomous Driving With Interaction Reasoning in Spatio-Temporal Planning.
IEEE Trans. Intell. Transp. Syst., August, 2024

Enhancing Campus Mobility: Achievements and Challenges of Autonomous Shuttle "Snow Lion".
CoRR, 2024

Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Rethinking Imitation-based Planners for Autonomous Driving.
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.
CoRR, 2023

Rethinking Imitation-based Planner for Autonomous Driving.
CoRR, 2023

FCUS: Traffic Rule-Aware Vehicle Trajectory Forecasting Using Continuous Unlikelihood and Signal Temporal Logic Feature.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders.
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.
IEEE Robotics Autom. Lett., 2022

HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction.
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.
CoRR, 2021

2020
High-Speed Autonomous Drifting With Deep Reinforcement Learning.
IEEE Robotics Autom. Lett., 2020


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