Velocity adaptive preview path tracking control for autonomous vehicles using deep reinforcement learning with Lyapunov function-based reward shaping
Traditional rule-based path tracking controllers of autonomous vehicles (AVs) often struggle with nonlinear vehicle dynamics, parameter tuning, and changes in road conditions. Learning-based methods partly address these issues, but remain limited in adapting to velocity changes, exploiting the preview information from...