Road Autonomy

Road autonomy, particularly in challenging off-road environments, focuses on enabling vehicles to navigate autonomously without reliance on GPS or highly structured maps. Current research emphasizes robust perception using radar as a cost-effective and environmentally resilient alternative to LiDAR, coupled with data-driven models like the Koopman operator and digital twin simulations for improved model training and validation. These advancements are significant for enhancing safety and efficiency in various applications, including agriculture, search and rescue, and exploration, by enabling autonomous operation in previously inaccessible terrains.