Monocular Cross View Road Scene Parsing Road

Monocular Cross-View Road Scene Parsing is a computer vision technique designed to parse road scenes from different viewpoints using images acquired from a single camera. The goal of this technology is to accurately identify and classify various elements in the road environment, such as lane lines, traffic signs, and pedestrians, and generate high-precision semantic segmentation maps. Its application value lies in enhancing the environmental perception capabilities of autonomous driving systems, improving vehicle navigation and safety performance, and playing a significant role in intelligent traffic management and monitoring systems.