In this contribution new results in the field of video processing regarding the problem of obstacle detection will be presented. Video sequences obtained from a camera mounted in a driving car are used as the input to a CNN and different templates are applied to extract multiple features from video sequences. Thereby, CNN with nonlinear weight functions have been considered allowing a reliable feature extraction. A detailed discussion of the algorithms and obtained results will be given in this paper.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Recent results for obstacle detection by cellular neural networks (CNN)


    Beteiligte:
    Geis, G. (Autor:in) / Feiden, D. (Autor:in) / Tetzlaff, R. (Autor:in)


    Erscheinungsdatum :

    2005


    Format / Umfang :

    5 Seiten, 14 Quellen





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Cellular neural networks for motion estimation and obstacle detection

    Feiden, Dirk / Tetzlaff, Ronald | BASE | 2003

    Freier Zugriff

    Obstacle avoidance using neural networks

    DeMuth, G. / Springsteen, S. | Tema Archiv | 1990


    Obstacle avoidance using fuzzy neural networks

    Liu, Xuemin / Liang Peng / Li, Jiawei et al. | Tema Archiv | 1998


    Recent results of night time driving and automatic obstacle detection by AGIS technology

    Garten, H. / Grauer, Y. / David, Y. et al. | Tema Archiv | 2012