In this paper we face the point cloud segmentation problem from a Deep Learning (DL) perspective. We focus in spinning laser sensors and benefit from the structured nature of the data: since all the measurements can be projected into a 2D grid without loss of ...

We present a robust Global Matching technique focused on 3D mapping applications using laser range-finders. Our approach works under the assumption that places can be recognized by analyzing the projection of the observed points along the gravity direction. Re...

A novel public dataset for developing and benchmarking indoor localization systems. We have selected and 3D mapped a set of representative indoor environments including a large office building, a conference room, a workshop, an exhibition area and a restaurant...