Basics and challenges in acoustic vehicle sensing using sidewalk microphones

Shigemi Ishida, Shigeaki Tagashira, Akira Fukuda

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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.

Original languageEnglish
Title of host publicationSmart Sensors and Systems
Subtitle of host publicationTechnology Advancement and Application Demonstrations
PublisherSpringer International Publishing
Pages121-134
Number of pages14
ISBN (Electronic)9783030422349
ISBN (Print)9783030422332
DOIs
Publication statusPublished - Jan 1 2020

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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