Reinforcement learning (RL) has excelled in sequential decision-making and control tasks,
yet traditional RL algorithms are limited by adherence to a single control style in identical …

Sideslip angle and vehicle velocity are crucial for both traditional and autonomous vehicles.
They play essential roles in chassis stability control, as well as in tasks such as path …

Ego Vehicle state estimation is integral to every autonomous driving software stack.
Thereby, the estimation of the state and its components as for example the side slip angle, is …

This paper studies the optimization strategies of the related technologies used in
autonomous vehicles, including perception fusion and control algorithm. With the rapid …