In this paper, the authors investigate the problem of detecting and counting motorcycles in real traffic flow with a single layer laser scanner. This work focuses on the use of simple signal processing techniques to achieve a good performance in real time. The reported results outperform state-of-the art results. First, the authors report a 99·2% correct classification rate on 16 min sequence for a three-vehicle class classification problem. Second, the authors achieve a 0·8% counting error rate on 2 h of real traffic.


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    Titel :

    Overhead LIDAR-based motorcycle counting


    Beteiligte:
    Subirats, Peggy (Autor:in) / Dupuis, Yohan (Autor:in)

    Erschienen in:

    Transportation Letters ; 7 , 2 ; 114-117


    Erscheinungsdatum :

    2015-03-01


    Format / Umfang :

    4 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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