In this contribution an inertial navigation system (INS) for next generation inner-city driver assistance is presented. The INS integrates data from different in-vehicle sensors using a two-staged approach. First, the vehicle's motion is estimated in 2D before the 2D estimates are fused with additional sensor data to obtain reliable 3D positioning. In test drives of several kilometers the system exhibited a high relative positioning accuracy. The high accuracy in conjunction with the fact that the used sensors are already built in many today's production vehicles renders the presented INS attractive for driver assistance systems.


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    Titel :

    Ego-motion estimation in urban areas


    Beteiligte:
    Gläser, Claudius (Autor:in) / Bürkle, Lutz (Autor:in) / Niewels, Frank (Autor:in)


    Erscheinungsdatum :

    2013


    Format / Umfang :

    14 Seiten, Bilder, Tabellen, 14 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Ego-motion estimation in urban areas

    Gläser, Claudius / Bürkle, Lutz / Niewels, Frank | Springer Verlag | 2014


    Ego-motion estimation in urban areas

    Glaeser,C. / Buerkle,L. / Niewels,F. et al. | Kraftfahrwesen | 2014


    ROAD ACCIDENT ESTIMATION MODEL I N URBAN AREAS

    Serban RAICU / Dorinela COSTESCU / Stefan BURCIU et al. | DOAJ | 2016

    Freier Zugriff

    NETWORK STATUS ESTIMATION AND TRAFFIC PREDICTION IN URBAN AND SUB-URBAN AREAS

    Di Taranto, C. / ITS Congress Association | British Library Conference Proceedings | 2000


    Urban Areas (C10)

    Association Mondiale de la Route | British Library Conference Proceedings | 1996