Initial Design of Two-Stage Acoustic Vehicle Detection System for High Traffic Roads

Masato Uchino, Billy Dawton, Yuki Hori, Shigemi Ishida, Shigeaki Tagashira, Yutaka Arakawa, Akira Fukuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As the adoption of Intelligent Transport Systems (ITS) grows worldwide, so does the need for lost-cost, fast-deployment vehicle detection systems. SAVeD is a low-cost acoustic detection system developed by the authors which works by fitting a curve indicating vehicle passage to a sound map depicting the difference in arrival time of a passing vehicle's sound at two microphones installed on the roadside. This paper expands on the SAVeD method by proposing a Two-Stage Acoustic Vehicle Detection System for use in high-traffic environments, where multiple simultaneously and successively passing vehicles cause interference in the detection process. To solve this problem, the sound map fitting process is divided into two stages: the detection range is narrowed based on information estimated during the Pre-Fitting stage, and neighborhood point extraction is performed during the Post-Fitting stage to improve vehicle detection accuracy. Initial evaluation performed on a four-lane, two-direction road showed a vehicle detection F-measure of 0.63, a 12-point increase over SAVeD.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728147161
DOIs
Publication statusPublished - Mar 2020
Event2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020 - Austin, United States
Duration: Mar 23 2020Mar 27 2020

Publication series

Name2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020

Conference

Conference2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020
CountryUnited States
CityAustin
Period3/23/203/27/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Human-Computer Interaction
  • Safety, Risk, Reliability and Quality
  • Instrumentation

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