This paper presents two techniques to detect and classify navigable terrain in complex three‐
dimensional (3D) environments. The first method is a low level on‐line mechanism aimed at …

In this article we explain the architecture for the environment and sensors that has been built
for the European project URUS (Ubiquitous Networking Robotics in Urban Sites), a project …

We present a method to segment dynamic objects from high-resolution low-rate laser scans.
Data points are tagged as static or dynamic based on the classification of pixel data from …

Outdoor camera networks are becoming ubiquitous in critical urban areas of large cities
around the world. Although current applications of camera networks are mostly limited to …

Outdoor camera networks are becoming ubiquitous in critical urban areas of the largest
cities around the world. Although current applications of camera networks are mostly tailored …

The paper concerns the results related with GPGPU computing applied for mobile robotics
applications. The scalable implementation of the point to point and point to plane 3D data …

This paper presents an analysis of uncertainty in the calibration of a network of cameras. A
global 3D scene model, acquired with a LIDAR scanner, allows calibrating cameras with …

The paper concerns the result of the implementation of classic point to plane 3D data
registration method with an improvement based on GPGPU parallel computation. 3D data is …

[EN]: This thesis reports research on the fusion of data coming from laser range scanners
and cameras for scene interpretation. These devices are complementary in that one …

This master thesis is aimed at developing a ROS compatible obstacle avoidance module for
a Segway RMP400 platform using lidar sensors. The algorithm implemented supports …