The method of evolutionary functional testing allows it to automate testing by transforming the test case design into an optimization problem. For this aim it is necessary to define a suitable fitness function. In this paper for an autonomous parking system two different approaches for fitness functions are presented, which evaluate the quality of parking maneuver automatically. A numerical analysis shows, that the proposed area criterion supports a faster convergence of the optimization compared to the proposed distance criterion and that the proposed area criterion describes an efficient method to find functional errors in an automated way.


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    Titel :

    Automatic Testing of an Autonomous Parking System Using Evolutionary Computation


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    SAE 2004 World Congress & Exhibition ; 2004



    Erscheinungsdatum :

    08.03.2004




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :



    Automatic Testing of an Autonomous Parking System Using Evolutionary Computation

    Buhler, O. / Wegener, J. / Society of Automotive Engineers | British Library Conference Proceedings | 2004


    Automatic Testing of an Autonomous Parking System Using Evolutionary Computation

    Buhler, O. / Wegener, J. / Society of Automotive Engineers | British Library Conference Proceedings | 2004


    Automatic testing of an autonomous parking system using evolutionary computation

    Buehler,O. / Wegener,J. / STZ Softwaretechnik,DE et al. | Kraftfahrwesen | 2004


    AUTONOMOUS VEHICLE AUTOMATIC PARKING

    FIELDS BRIAN MARK / HUANG CHIEN CHE / WAZEER MOHAMED A et al. | Europäisches Patentamt | 2021

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