The classification of observed objects in the vehicle's environment is necessary for several active safety systems. A framework for the object classification task is introduced. The classification benefits from pattern classification as well as from rule based a priori knowledge. The framework can serve different applications at the same time. A new approach is applied to adapt the output for each application to its special requirements. This adaptation consumes only very little processing time and can be performed for multiple applications without affecting the framework's real time properties. The practical usage of the framework is illustrated by the classification of measurements of a Laserscanner, but the framework is also applicable for other types of sensors.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Adaptable Object Classification Framework


    Beteiligte:
    Wender, S. (Autor:in) / Dietmayer, K.C.J. (Autor:in)


    Erscheinungsdatum :

    01.01.2006


    Format / Umfang :

    5201398 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    An Adaptable Object Classification Framework

    Wender, S. / Klaus, C. / Dietmayer, J. | British Library Conference Proceedings | 2006


    Object size self-adaptable type grab bucket

    ZHU NENGWEI / XU XULIU | Europäisches Patentamt | 2015

    Freier Zugriff

    An adaptable object model for real-time systems design

    Guetari, R. / Nguyen, G.T. | IEEE | 1996


    An Adaptable Object Model for Real-Time Systems Design

    Guetari, R. / Toan Nguyen, G. / IEEE; Dayton Section et al. | British Library Conference Proceedings | 1996


    Adaptable multimodal interaction framework for robot-assisted cognitive training

    Taranovic, Aleksandar / Jevtic, Aleksandar / Torras, Carme | BASE | 2018

    Freier Zugriff