• DocumentCode
    3267992
  • 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
  • fYear
    2007
  • fDate
    13-15 June 2007
  • Firstpage
    811
  • Lastpage
    816
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2007 IEEE
  • Conference_Location
    Istanbul
  • ISSN
    1931-0587
  • Print_ISBN
    1-4244-1067-3
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2007.4290216
  • Filename
    4290216