Titre :

Road Selection using Multi-Criteria Fusion for the Roadmap-Matching Problem

Auteur(s) :

El Badaoui El Najjar, Maan [Auteur correspondant]
Systèmes Tolérants aux Fautes [STF]
Bonnifait, Philippe [Auteur]
Heuristique et Diagnostic des Systèmes Complexes [Compiègne] [Heudiasyc]

Titre de la revue :

IEEE Transactions on Intelligent Transportation Systems

Pagination :

279-291

Éditeur :

IEEE

Date de publication :

2007

ISSN :

1524-9050

Mot(s)-clé(s) en anglais :

Belief theory
Geographical Information System (GIS)
Global Positioning System (GPS)
localization
sensor fusion

Discipline(s) HAL :

Sciences de l'ingénieur [physics]/Automatique / Robotique

Résumé en anglais : [en]

This paper presents a road selection strategy for novel road-matching methods that are designed to support real-time navigational features within Advanced Driving-Assistance Systems (ADAS). Selecting the most likely ...
Lire la suite >This paper presents a road selection strategy for novel road-matching methods that are designed to support real-time navigational features within Advanced Driving-Assistance Systems (ADAS). Selecting the most likely segment(s) is a crucial issue for the road-matching problem. The selection strategy merges several criteria using Belief theory. Particular attention is given to the development of belief functions from measurements and estimations of relative distances, headings, and velocities. Experimental results using data from antilock brake system sensors, the differential Global Positioning System receiver, and the accurate digital roadmap illustrate the performances of this approach, particularly in ambiguous situations.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL