The focus of this case study is the analysis and evaluation of signal level fusion approaches that are common to the domain of commercial vehicles. For this task a Simulink1 environment for simulating both sensors and fusion algorithms was implemented and several experiments were conducted. Application oriented scenarios were used to deduce guidelines for the optimal usage (and limitations) of these algorithms. In this paper commonly used signal level sensor fusion approaches were introduced and their respective performance was evaluated in several application scenarios that form a challenge in the everyday usage of such algorithms. The experiments have underlined the advantages and shortcoming of each approach that have to be considered when designing a fusion system for a commercial vehicle. It became obvious that a tradeoff between fusion accuracy and robustness exists. The fuzzy voter has proven to be an interesting candidate for further investigation since it represents a good compromise of both worlds. Thus, its properties should be examined more closely and its performance in a real application shall be tested. Furthermore the high degree of adaptability offers room for improvement beyond the already experienced behavior.


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    Titel :

    A case study towards evaluation of redundant multi-sensor data fusion


    Beteiligte:
    Blank, Sebastian (Autor:in) / Föhst, Tobias (Autor:in) / Berns, Karsten (Autor:in)


    Erscheinungsdatum :

    2010


    Format / Umfang :

    10 Seiten, 5 Bilder, 1 Tabelle, 9 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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