Modeling dynamic environments is an essential research topic in any driving assistance system. The complexity of the surrounding world, the measurement uncertainties or the unpredictable behavior of the traffic participants are the main factors that influence the detection and tracking process. In this paper we present a vision-based method for modeling and tracking unstructured dynamic environments. The proposed solution relies on raw information provided by a classified grid computed from a digital elevation map and employs two separate representation levels: a local dynamic persistence grid (DyPerGrid) that is generated as an intermediate representation level and a map of delimiters as a higher level obstacle description. A fast tracking solution is proposed by using the two models. The result is a geometrically consistent and accurate representation of the dynamic environment.


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    Titel :

    Modeling unstructured environments with dynamic persistence grids and object delimiters in urban traffic scenarios


    Beteiligte:


    Erscheinungsdatum :

    01.06.2013


    Format / Umfang :

    1081732 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    MODELING UNSTRUCTURED ENVIRONMENTS WITH DYNAMIC PERSISTENCE GRIDS AND OBJECT DELIMITERS IN URBAN TRAFFIC SCENARIOS

    Vatavu, A. / Nedevschi, S. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2013





    Object tracking based on evidential dynamic occupancy grids in urban environments

    Steyer, Sascha / Tanzmeister, Georg / Wollherr, Dirk | IEEE | 2017