As their functionality becomes more and more complex, future driver assistance systems rely on several different sensors in order to combine the advantages of different measurement principles. However, in multi-sensor fusion, measurements may arrive at the fusion unit out-of-sequence, the original order of the measurements may be lost. Whereas out-of-sequence measurement processing in state estimation has been studied extensively, their incorporation in existence estimation has not been solved in the past. This paper presents a new algorithm for state and existence estimation in time-critical applications, where out-of-sequence measurements are handled adequately. The derived algorithm is validated with real-world data from crash tests.


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    Titel :

    State and existence estimation with out-of-sequence measurements for a collision avoidance system


    Beteiligte:


    Erscheinungsdatum :

    2013-06-01


    Format / Umfang :

    387100 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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