Cooperative decisions of multiple vehicles need a collaborative perception. Therefore, fusion methods for ego and environmental information are developed and evaluated. Precondition for the registration of data in a common coordinates is the accurate localization. This is realized by a fusion approach with absolute data of GPS and relative data of a dead reckoning system. A decentral fusion procedure combines a recursive multi-target tracking of detections with a grid-based mapping. Thus, negative sensor evidences can be formulated and missing detections are recognized


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    Titel :

    Informationsfusion für die kooperative Umfeldwahrnehmung vernetzter Fahrzeuge


    Beteiligte:


    Erscheinungsdatum :

    2013


    Format / Umfang :

    1 Online-Ressource (VIII, 115 p.)



    Medientyp :

    Buch


    Format :

    Elektronische Ressource


    Sprache :

    Deutsch