Hd Semantic Map Learning

"HD semantic map learning" refers to the process of generating high-precision semantic map elements in vectorized form using data collected from vehicle sensors such as RGB cameras and/or LiDAR. These elements include road boundaries, the division between pedestrian paths and lanes, etc. The task aims to enhance the environmental understanding and navigation capabilities of autonomous driving systems, providing vehicles with more accurate and richer map information to improve driving safety and efficiency.