Estimating the motion of a vehicle is a crucial requirement for intelligent vehicles. In order to solve this problem using a Bayes filter, an appropriate model of vehicular motions is required. This paper systematically reviews typical vehicular motion models and evaluates their suitability in different scenarios. For that, the results of extensive experiments using accurate reference sensors are presented and discussed in order to provide guidelines for the choice of an optimal model.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Empirical evaluation of vehicular models for ego motion estimation


    Beteiligte:
    Schubert, R. (Autor:in) / Adam, C. (Autor:in) / Obst, M. (Autor:in) / Mattern, N. (Autor:in) / Leonhardt, V. (Autor:in) / Wanielik, G. (Autor:in)


    Erscheinungsdatum :

    01.06.2011


    Format / Umfang :

    910316 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Empirical Evaluation of Vehicular Models for Ego Motion Estimation

    Schubert, R. / Adam, C. / Obst, M. et al. | British Library Conference Proceedings | 2011


    Empirical Testing of Vehicular Rotational Motion

    Meyers, Duane R. / Parrott, Thomas W. / Austin, Timothy P. | SAE Technical Papers | 2012


    Empirical Testing of Vehicular Rotational Motion

    Meyers, D.R. / Parrott, T.W. / Austin, T.P. et al. | British Library Conference Proceedings | 2012


    2012-01-0602 Empirical Testing of Vehicular Rotational Motion

    Meyers, D.R. / Parrott, T.W. / Austin, T.P. et al. | British Library Conference Proceedings | 2012


    VEHICULAR MOTION CONTROL METHOD AND VEHICULAR MOTION CONTROL APPARATUS

    NEMOTO HIDEAKI | Europäisches Patentamt | 2018

    Freier Zugriff