Road Following

Road following, a crucial aspect of autonomous driving, focuses on enabling vehicles to maintain their lane accurately and safely. Current research emphasizes robust performance under diverse conditions (e.g., varying weather and lighting) using a variety of approaches, including deep learning models (both end-to-end and hybrid architectures incorporating handcrafted features), stochastic models capturing vehicle lateral movement, and hierarchical prediction frameworks that leverage map information. These advancements aim to improve the reliability and safety of autonomous vehicles, contributing significantly to the development of more sophisticated and dependable self-driving systems.