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.
Basics and Challenges in Acoustic Vehicle Sensing Using Sidewalk Microphones
Smart Sensors and Systems ; Kapitel : 7 ; 121-134
2020-06-11
14 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Vehicle detection , Acoustic vehicle sensing , Intelligent transportation system (ITS) , Sidewalk microphone , Stereo microphone , Sound map , State-machine based algorithm , S-curve , Big vehicle detection , multi-lane road Engineering , Circuits and Systems , Signal, Image and Speech Processing , Electronics and Microelectronics, Instrumentation
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