Robust Indoor Localization in Complex Scenarios

Point Cloud Instance Segmentation for Spinning Laser Sensors

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 d...

Global matching of point clouds for scan registration and loop detection

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...

RISEDB

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 off...

Microsoft Indoor Localization Competition

Datasets related to the Microsoft Indoor Localization Competition held each year jointly with the IPSN conference.