Robust Lifelong Indoor LiDAR Localization Using the Hierarchical, Semantic Area Graph Map Representation

A robust and efficient indoor localization approach using 3D LiDAR point clouds and a compact, semantic, and hierarchical Area Graph map representation that enables accurate global localization and pose tracking without the need for frequent map updates or odometry data.