BEV Segmentation

BEV Segmentation is an image segmentation method based on computer vision technology, focusing on dividing images from a bird's-eye view into multiple regions with specific semantic meanings. This technique aims to enhance the understanding of the surrounding environment by autonomous driving systems, enabling efficient recognition and localization of key elements such as roads and obstacles through precise semantic segmentation, thereby improving the vehicle's navigation and decision-making performance. Its application value lies in enhancing the safety and reliability of autonomous driving, optimizing traffic management, and intelligent urban planning.