GPS/GIS Localization using a Set Membership Method

Author

Renault, Stéphane ; Meizel, Dominique

Author_Institution

ENSIL, Univ. de Limoges

fYear

2006

fDate

24-27 Sept. 2006

Firstpage

168

Lastpage

172

Abstract

This paper presents a method for vehicle localization in urban environment. It combines use of GPS and dead reckoning, fused by extended Kalman filter, and digital map, provided by a geographic information system. This map matching method is founded on set membership estimation theory, and more particularly on ellipsoidal algorithms. Experimental tests, with measurements collected during a travel in the historical city centre of Compiegne, are presented

Keywords

Global Positioning System; Kalman filters; geographic information systems; road vehicles; sensor fusion; Compiegne; GIS; GPS; dead reckoning; digital map; ellipsoidal algorithm; extended Kalman filter; geographic information system; map matching method; set membership estimation theory; urban environment; vehicle localization; Cities and towns; Dead reckoning; Filtering; Geographic Information Systems; Global Positioning System; Intelligent transportation systems; Kalman filters; Navigation; Sensor systems; Vehicles; Dead-reckoning; Extended Kalman filter; Geographic Information System; Global positioning system; Intelligent transportation system; Map matching; Set membership estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Workshop, 12th - Signal Processing Education Workshop, 4th

Conference_Location

Teton National Park, WY

Print_ISBN

1-4244-3534-3

Electronic_ISBN

1-4244-0535-1

Type

conf

DOI

10.1109/DSPWS.2006.265447

Filename

4041052