Accurate vehicle detection using stereo vision for toll collection systems

Yusuke Takahashi, Yasuhiro Aoki, Seiichi Hashiya, Atsushi Kusano, Nobuyuki Sueki, Toshio Sato

Research output: Contribution to conferencePaper

Abstract

We propose accurate vehicle detection using stereo images for toll collection systems. Conventional methods such as inductive loop sensors and laser scanners have disadvantages for equipment and installation costs. We have developed stereo vision-based depth measuring methods to detect a body of vehicles that achieve higher detection rates. Configurations of stereo cameras and algorithms are specialized for toll collection systems. Traffic data over 10,000 vehicles are used to confirm the accuracy of detection. The results indicate the proposed our approach will realize sufficient performance for toll collection systems and realize low cost vehicle detection for intelligent infrastructures for transportation.

Original languageEnglish
PagesAP-00280
Publication statusPublished - 2012
Externally publishedYes
Event19th Intelligent Transport Systems World Congress, ITS 2012 - Vienna, Austria
Duration: 2012 Oct 222012 Oct 26

Conference

Conference19th Intelligent Transport Systems World Congress, ITS 2012
CountryAustria
CityVienna
Period12/10/2212/10/26

Keywords

  • Stereo vision
  • Toll collection system
  • Vehicle detection

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Transportation

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  • Cite this

    Takahashi, Y., Aoki, Y., Hashiya, S., Kusano, A., Sueki, N., & Sato, T. (2012). Accurate vehicle detection using stereo vision for toll collection systems. AP-00280. Paper presented at 19th Intelligent Transport Systems World Congress, ITS 2012, Vienna, Austria.