In this paper, we propose a model that can advance toward the direction determined by the information about T-junctions existing in the image data. T-junctions appear near the edge of an object when it overlaps the other objects or background and human recognizes the depth using this information about T-junctions. To detect an edge, we employ signal processing layers arranged by the nonlinear oscillator and find out the information about T-junctions. The present model can avoid an object under monocular view and low resolution pictures (32 /spl times/32 pixel). We construct an autonomous car, which moves, in a sense, unconsciously and carried out running experiments to examine the validity of this model.


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    Titel :

    An approach of a determination model about autonomous action using the depth cue from T-junctions


    Beteiligte:
    Kurihara, Y. (Autor:in) / Saito, T. (Autor:in) / Mizuhara, H. (Autor:in)


    Erscheinungsdatum :

    2003-01-01


    Format / Umfang :

    443650 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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