🔥 News
- [2026.05] We release the Extreme Driving Dataset, a multi-modal driving dataset providing rich chassis dynamics (raw IMU and GPS heading) for limit-handling research and VLA model training. It covers 6 scenario categories: Normal, Complex Traffic, Critical, Low Light, Rain, and Snow.
Complex Traffic Driving
Critical Driving
Snow Driving
- [2026.04] Our paper “Behaviorally informed joint optimization of charger placement and dynamic spatio-temporal pricing for electric vehicle networks” co-authored with University of Michigan (Iason Liagkas, Neda Masoud) has been published!
- [2026.03] Our paper “Human-machine shared driving for vehicle collision avoidance based on Hamilton-Jacobi reachability” has been accepted by Accident Analysis & Prevention! You can contact us via email to obtain the real vehicle data related with this study and the right to use it freely.
- [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).
- [2025.01] 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.