Drivable Area Detection

Drivable Area Detection is a sub-task in the field of computer vision that focuses on identifying and marking safe and legal road areas suitable for regular driving. The model annotates drivable regions using color blocks, aiming to enhance the environmental perception and decision-making safety of autonomous driving systems, ensuring that vehicles can accurately recognize navigable paths in complex road environments and avoid potential traffic risks.