Vehicle Pose Estimation

Vehicle Pose Estimation is a crucial task in the field of computer vision, aiming to accurately estimate the pose parameters of vehicles, including their position, orientation, and pose angles, through image or video data. The goal of this task is to achieve high-precision vehicle pose reconstruction, providing key technical support for applications such as autonomous driving, traffic monitoring, and intelligent vehicle management. GSNet enhances the accuracy and robustness of pose estimation by achieving joint reconstruction of vehicle pose and shape through geometric and scene-aware supervision.