Road Geometry

Road geometry research focuses on accurately representing and understanding the three-dimensional structure of roads, crucial for applications like autonomous driving and historical map analysis. Current efforts concentrate on automated high-definition map generation from various data sources (e.g., LiDAR point clouds, satellite imagery), employing techniques like deep learning, image processing, and rule mining to improve accuracy and scalability. These advancements are vital for enhancing the safety and efficiency of autonomous vehicles, improving traffic simulation, and facilitating historical transportation studies.