🔥 News

• [2025.04] High-Speed Cornering Control and Real-Vehicle Deployment for Autonomous Electric Vehicles has been accepted by IEEE Transactions on Industrial Electronics, and we provides a very interesting video (https://www.youtube.com/watch?v=5wp67FcpfL8).

• [2025.03] Our team has proposed SACA (Scenario-Aware Collision Avoidance), a novel collision avoidance framework that integrates LLMs-driven reasoning to enhance autonomous vehicle safety under extreme conditions.
  🔗 Project Page: https://sean-shiyuez.github.io/SACA/
  📄 Paper on arXiv: arXiv:2504.00115

• [2025.02] Reachability-Aware Reinforcement Learning for Collision Avoidance in Human-Machine Shared Control has been preprinted. You can contact us via email to obtain the real vehicle data related with this study and the right to use it freely.
• [2025.01] The road surface image dataset associated with the paper “Tire-Road Friction Coefficients Adaptive Estimation through Image and Vehicle Dynamics Integration” is now publicly available and researchers are welcome to access it.
• [2024.12] We release our Python-based high-accuracy vehicle dynamic model with a validated high-fidelity tire simulation, designed for both conventional and drift driving scenarios!
• [2024.12] We have open-sourced a project using Simulink as a bridge for CarSim and Python co-simulation. We invite researchers to improve it and develop RL algorithms for real vehicles.
• [2024.11] Tire-Road friction coefficients adaptive estimation through image and vehicle dynamics integration has been accepted in MSSP Journal.