Monocular Cross View Road Scene Parsing

Monocular Cross-View Road Scene Parsing (Vehicle) is a technology in the field of computer vision that aims to parse road scenes from different viewpoints using images obtained from a monocular camera, achieving precise identification and classification of vehicles. The goal of this technology is to enhance the perception capabilities of autonomous driving systems in complex environments, improving their understanding and response strategies to road conditions. Its application value lies in increasing the safety and reliability of vehicle navigation systems, optimizing traffic management, and providing critical technical support for the development of intelligent transportation systems.