Working with mobile robots, prior to execute the local planning stage, they must know the
environment where they are moving. For that reason the perception and mapping stages …

Autonomous vehicle systems are currently the object of intense research within scientific
and industrial communities; however, many problems remain to be solved. One of the most …

The subject of this thesis is belief function theory and its application in different contexts.
Belief function theory can be interpreted as a generalization of Bayesian probability theory …

Evidential grids have recently been shown to have interesting properties for mobile object
perception. Possessing only partial information is a frequent situation when driving in …

This article proposes a perception scheme in the field of intelligent vehicles. The method
exploits prior map knowledge and makes use of evidential grids constructed from the sensor …

We present a solution to the problem of simultaneous localization and mapping (SLAM)
based on Dempster-Shafer theory. While several works on the mapping problem based on …

For autonomous driving, knowledge about the current environment and especially the
driveable lanes is of utmost importance. Currently this information is often extracted from …

In recent years, there is a growing interest in indoor positioning due to the increasing
amount of applications that employ position data. Current approaches determining the …

Les travaux de recherche présentés dans cette thèse portent sur le problème de la
perception de l'environnement en milieu urbain, complexe et dynamique et ce en présence …

The goal of this paper is to improve our previous Dynamic Obstacle Mapping (DOMap)
system by means of improving the perception stage. The new system must deal with robots …