Automotive Application

Automotive applications research focuses on improving the safety, reliability, and efficiency of vehicles through advanced technologies. Current efforts concentrate on developing robust control systems using techniques like kinodynamic planning and reinforcement learning, enhancing anomaly detection with statistical and deep learning methods, and improving the security and interpretability of AI-driven systems, including those using graph attention networks. These advancements are crucial for enabling autonomous driving, enhancing driver-assistance systems, and ensuring the overall safety and security of modern vehicles.