The process of traffic information has become an important aspect of automated driving nowadays. Thus, in this paper a small mobile system is proposed, in which MobileNetV2+SSD model is deployed and combined with binocular stereo-vision ranging to realize the recognition and ranging of traffic lights. Experiment results with real images show that this system can effectively process the information of traffic lights under real road conditions.


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    Titel :

    Traffic Light Recognition and Ranging System Based on Machine Vision


    Beteiligte:
    Zeng, Yiming (Autor:in) / Xie, Kanghui (Autor:in) / Yang, Ming (Autor:in) / Wu, Jun (Autor:in)


    Erscheinungsdatum :

    01.05.2019


    Format / Umfang :

    486956 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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