Vehicle detection is one of the fundamental tasks in the ITS (intelligent transportation system). Although automatic vehicle sensors have already been deployed to retrieve real-time traffic data, these sensors suffer from high deployment costs, resulting in limited deployment at high traffic roads. This paper presents a new approach of vehicle sensing using sidewalk microphones. We install stereo microphones at one side of a road and draw a sound map, i.e., a time-difference map of vehicle sound on the two microphones. A state-machine based algorithm analyzes vehicle passing drawn a sound map to detect vehicles. A simple image processing technique is applied to a sound map prior to analysis to reduce false negative detections. Experimental evaluations demonstrated that our vehicle sensing system successfully detected vehicles with an F-measure of 0.92. This paper also presents big challenges we are facing to extend our system to multi-lane high traffic roads.


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    Titel :

    Basics and Challenges in Acoustic Vehicle Sensing Using Sidewalk Microphones


    Beteiligte:
    Liu, Yongpan (Herausgeber:in) / Lin, Youn-Long (Herausgeber:in) / Kyung, Chong-Min (Herausgeber:in) / Yasuura, Hiroto (Herausgeber:in) / Ishida, Shigemi (Autor:in) / Tagashira, Shigeaki (Autor:in) / Fukuda, Akira (Autor:in)

    Erschienen in:

    Smart Sensors and Systems ; Kapitel : 7 ; 121-134


    Erscheinungsdatum :

    2020-06-11


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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