Kun Xu

Orcid: 0000-0003-1112-209X

Affiliations:
  • Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China


According to our database1, Kun Xu authored at least 10 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
BDRP: A Binary Divisive Recursive Planner for Path Planning.
IEEE Robotics Autom. Lett., March, 2026

2025
InstanceBEV: Unifying Instance and BEV Representation for Global Modeling.
CoRR, May, 2025

2024
Limited Information Aggregation for Collaborative Driving in Multi-Agent Autonomous Vehicles.
IEEE Robotics Autom. Lett., July, 2024

Reinforcement Learning-Based High-Speed Path Following Control for Autonomous Vehicles.
IEEE Trans. Veh. Technol., June, 2024

Data-Driven Approach for Accurate Wheel Slip Ratio Estimation in Electric Vehicles: Performance Comparison and Validation Analysis.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

2023
Mastering Cooperative Driving Strategy in Complex Scenarios using Multi-Agent Reinforcement Learning.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

2022
Data-Driven Probabilistic Model of Magneto-Rheological Damper for Intelligent Vehicles using Gaussian Processes.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Learning-based Motion Control of Autonomous Vehicles Considering Varying Adhesion Road Surfaces.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Learning Effectively from Intervention for Visual-based Autonomous Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2019
Crowd-parking: A New Idea of Parking Guidance Based on Crowdsourcing of Parking Location Information from Automobiles.
Proceedings of the IECON 2019, 2019


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