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In this paper we describe a method for the automatic self-calibration of a 3D laser sensor.
We wish to acquire crisp point clouds and so we adopt a measure of crispness to capture …

We present an odometry‐free three‐dimensional (3D) point cloud registration strategy for
outdoor environments based on area attributed planar patches. The approach is split into …

In this paper, we develop a novel point cloud registration algorithm that directly incorporates
pixelated semantic measurements into the estimation of the relative transformation between …

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 …

This paper presents a fully autonomous navigation solution for urban, pedestrian
environments. The task at hand, undertaken within the context of the European project …

Time-of-Flight (ToF) cameras deliver 3D images at 25 fps, offering great potential for
developing fast object modeling algorithms. Surprisingly, this potential has not been …

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 …

A hybrid vision‐map system is presented to solve the road detection problem in urban
scenarios. The standardized use of machine learning techniques in classification problems …

This paper presents a 3D point cloud map construction method based on extracted line
segments with two mutually-perpendicular laser sensors in unknown indoor environment. To …