Intelligent Vehicle

Intelligent vehicles aim to enhance safety and efficiency in transportation through advanced automation and decision-making capabilities. Current research heavily focuses on improving perception (using cameras, LiDAR, and radar data, often processed by convolutional neural networks and transformers), predicting the behavior of other road users (leveraging graph neural networks and reinforcement learning), and planning safe and efficient maneuvers (employing optimization algorithms and imitation learning). These advancements are crucial for enabling autonomous driving and improving existing driver-assistance systems, with significant implications for traffic safety, transportation efficiency, and the broader automotive industry.