Traffic signal locations and their corresponding stop lines. Pedestrian crosswalks and sidewalk transitions. Static objects like curbs, poles, and barriers. Why is it Important?
: Simultaneous Localization and Mapping (SLAM) is the core algorithmic process used to align LiDAR data and ensure the map's accuracy. IntersectHD
: By using intelligent roadside infrastructure, cities can create real-time HD maps that are more accurate than those generated by individual vehicles alone. Common Tools and Research Traffic signal locations and their corresponding stop lines
: A tool used by engineers to programmatically build 3D scenes of intersections for automated driving simulations. Why is it Important
Traditional maps used for navigation (like standard GPS) provide general routing, but offer centimeter-level accuracy. For intersections—the most complex and accident-prone areas of a road network—this involves detailed semantic mapping.
: Self-driving cars rely on these maps to "see" beyond their immediate sensors, helping them predict lane paths and understand complex signal patterns.