Title :
Localisation in urban environment using GPS and INS aided by monocular vision system and 3D geographical model
Author :
Cappelle, Cindy ; El Najjar, Maan El Badaoui ; Pomorski, Denis ; Charpillet, François
Author_Institution :
USTL, Polytech´´Lille, Villeneuve-d´´Ascq
Abstract :
In this paper, a geo-localisation method was proposed, using GPS, INS, monovision camera and a new geo-information source, which is the 3D cartographical model. A 3D-GIS (Geographical Information System) has been developed to manipulate and navigate in a precise 3D cartographical model database. To have a continuous pose estimation, an EKF has been implemented to fuse GPS and INS. To integrate the 3D cartographical model information, a 3D cartographical observation has been constructed using 2D/3D images matching between the real image captured by the embedded camera and the virtual images provided by the 3D-GIS. A real data acquisition platform has been developed to test and validate the proposed method.
Keywords :
Global Positioning System; cartography; computerised navigation; geographic information systems; image processing; inertial navigation; traffic engineering computing; GPS; INS; cartographical model database; embedded camera; geo-localisation method; geographical information system; geographical model; monocular vision system; urban environment; virtual images; Cameras; Data acquisition; Fuses; Global Positioning System; Image databases; Image matching; Information systems; Machine vision; Navigation; Testing;
Conference_Titel :
Intelligent Vehicles Symposium, 2007 IEEE
Conference_Location :
Istanbul
Print_ISBN :
1-4244-1067-3
Electronic_ISBN :
1931-0587
DOI :
10.1109/IVS.2007.4290216