Autonomous Truck

Autonomous trucking research focuses on developing safe and efficient self-driving heavy vehicles for improved logistics and environmental impact. Current efforts concentrate on enhancing perception through multimodal datasets and advanced sensor fusion, optimizing decision-making using deep reinforcement learning and model predictive control for tasks like adaptive cruise control and lane changes, and improving situational awareness via V2X communication and predictive modeling of traffic patterns. These advancements are crucial for addressing safety concerns and enabling the practical deployment of autonomous trucks, impacting both the transportation industry and related fields like environmental monitoring and urban planning.