This paper presents a precise localization method for autonomous driving systems by correcting the GPS bias error. Since GPS errors have systematic noise properties that change slowly with time, a stand-alone GPS cannot be used for localization of an autonomous vehicle. To compensate for this systematic bias error, several types of additional sources of information, including on-board motion sensors, camera vision systems, and a road map database, are applied to the localization system. The localization algorithm is based on a particle filter, because the measurement model related to the representation of the road geometry is described by a highly nonlinear function. The proposed localization algorithm was tested and verified through an autonomous driving test.


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    Titel :

    GPS-bias correction for precise localization of autonomous vehicles


    Beteiligte:
    Jo, Kichun (Autor:in) / Chu, Keonyup (Autor:in) / Sunwoo, Myoungho (Autor:in)


    Erscheinungsdatum :

    01.06.2013


    Format / Umfang :

    907559 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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