State-Based Reinforcement Learning Safe Trajectory Tracking for Autonomous Vehicles via Geometric Safety Representation and Lagrangian-PPO
This paper investigates a state-based safe trajectory tracking (STT) control framework for autonomous vehicles in dynamic environments, where the objective is to design a controller that ensures accurate trajectory tracking while guaranteeing non-conservative collision avoidance. Existing learning-based approaches ofte...