This paper proposes a camera-based visibility estimation method for a traffic sign. The visibility here indicates how a visual target is easy to be detected and recognized by a human driver (not a machine). This research aims at realizing a nuisance-free driver assistance system which sorts out information depending on the visibility of a visual target, in order to prevent driver distraction. Our previous study on estimating the visibility of a traffic sign considered only the effect of the local region around a target, assuming the situation that a driver's gaze is around it. The proposed method integrates both the local features and global features in a driving environment without such an assumption. The global features evaluate the positional relationships between traffic signs and the appearance around the fixation point of a driver's gaze, which considers the effect of the driver's entire field of view. Experimental results showed the effectiveness of incorporating the global features for estimating the visibility of a traffic sign.


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    Titel :

    Estimation of traffic sign visibility considering local and global features in a driving environment


    Beteiligte:
    Doman, Keisuke (Autor:in) / Deguchi, Daisuke (Autor:in) / Takahashi, Tomokazu (Autor:in) / Mekada, Yoshito (Autor:in) / Ide, Ichiro (Autor:in) / Murase, Hiroshi (Autor:in) / Sakai, Utsushi (Autor:in)


    Erscheinungsdatum :

    01.06.2014


    Format / Umfang :

    473916 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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