In this paper, we propose a LiDAR‐based robot localization method in a complex oil and
gas environment. Localization is achieved in six degrees of freedom (DoF) thanks to a …

This paper presents a Fuzzy Control application for a landing task of an Unmanned Aerial
Vehicle, using the 3D-position estimation based on visual tracking of piecewise planar …

In this work we present an optimized fuzzy visual servoing system for obstacle avoidance
using an unmanned aerial vehicle. The cross-entropy theory is used to optimise the gains of …

This article presents the overall architecture of the VIKINGS robot, winner of two
competitions and one of five contenders in the ARGOS Challenge. The VIKINGS robot is an …

Autonomous route following with road vehicles has gained popularity in the last few
decades. In order to provide highly automated driver assistance systems, different types and …

Abstract The Cross-Entropy (CE) is an efficient method for the estimation of rare-event
probabilities and combinatorial optimization. This work presents a novel approach of the CE …

Unmanned Aerial Vehicles (UAVs) are fast growing sector. Nowadays, the market offers
numerous possibilities for off-the-shelf UAVs such as quadrotors. Until UAVs demonstrate …

The paper describes the design and implementation of an intelligent autonomous vehicle
that can navigate without human operator in unknown environments. Equipped with …

El objetivo principal de esta Tesis es extender la utilización del “Soft-Computing” para el
control de vehículos sin piloto utilizando visión. Este trabajo va más allá de los típicos …

This paper presents a visual control applied on an unmanned aerial vehicle to navigate
along the crop rows. The system integrates a computer vision method based on the oriented …