The growing complexity of hardware platforms for driver assistance systems makes a cost-efficient selection and algorithm implementation challenging. Here, Electronic System Level tools, which combine model-based design, system synthesis, and performance evaluation, seem to be a remedy. In this paper, we systematically assess the accuracy of system level performance evaluation through a quantitative comparison of estimated and meas-ured performance numbers. As a case study, we use a pedestrian detection application. The application is mapped onto three different reference platforms, an FPGA, an ASIP, and a multi-core processor. The average error of the system-level performance estimation was typically between 3% and 16% at a standard deviation of below 11%.


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    Titel :

    Multi-Platform Performance Evaluation of Pedestrian Detection at the Electronic System Level


    Beteiligte:
    Kiesel, Rainer (Autor:in) / Freisler, Stefan (Autor:in) / Löhlein, Otto (Autor:in) / Haubelt, Christian (Autor:in) / Streubühr, Martin (Autor:in) / Teich, Jürgen (Autor:in)


    Erscheinungsdatum :

    2013


    Format / Umfang :

    6 Seiten, 5 Bilder, 6 Tabellen, 14 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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