There is an increasing interest worldwide in animal detection systems to reduce animal-vehicle collisions. Traditional approaches include building animal crossings, introducing real or virtual fencing, video surveillance and break-the-beam systems. Unlike these approaches, the system described here Large Animal Warning and Detection System (LAWDS) employs a 360˚-scanning radar to monitor a stretch of highway. This provides year-round continuous highway monitoring, even in harsh weather conditions. Innovative analysis and classification techniques enable the system to track large animals (e.g. deer). Low false alarm rate and environmental impact make LAWDS attractive for operational use. LAWDS also distinguishes vehicles from large animals and analyzes highway traffic metrics such as traffic volume and vehicle speeds.


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    Titel :

    Large animal detection and continuous traffic monitoring on highways


    Beteiligte:
    Mukherjee, A. (Autor:in) / Stolpner, S. (Autor:in) / Liu, X. (Autor:in) / Vrenozaj, U. (Autor:in) / Fei, C. (Autor:in) / Sinha, A. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.11.2013


    Format / Umfang :

    1035624 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Highways and traffic

    Besson, F.S. | Engineering Index Backfile | 1924



    Traffic efficiency of highways

    MacDonald, C. | Engineering Index Backfile | 1928


    Traffic census on highways

    Hewes, L.J. | Engineering Index Backfile | 1913