Summarizing large scale 3D point cloud for navigation tasks
Democratization of 3D sensor devices makes 3D maps building easier especially in long term mapping and autonomous navigation. In this paper we present a new method for summarizing a 3D map (dense cloud of 3D points). This method aims to extract a summary map facilitating the use of this map by navigation systems with limited resources (smartphones, cars, robots…). This Vision-based summarizing process is applied in a fully automatic way using the photometric, geometric and semantic information of the studied environment.