Accurate Vehicle Detection using Stereo Vision for Toll Collection Systems

The authors 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 authors approach will realize sufficient performance for toll collection systems and realize low cost vehicle detection for intelligent infrastructures for transportation.

• Supplemental Notes:
  • Abstract reprinted with permission from Intelligent Transportation Society of America.
• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Takahashi, Yusuke
  • Aoki, Yasuhiro
  • Hashiya, Seiichi
  • Kusano, Atsushi
  • Sueki, Nobuyuki
  • Sato, Toshio
• Conference:
  • 19th ITS World Congress
  • Location: Vienna , Austria
  • Date: 2012-10-22 to 2012-10-26
• Publication Date: 2012

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: 8p
• Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012

Subject/Index Terms

• TRT Terms: Algorithms; Loop detectors; Sensors; Stereoscopic cameras; Toll collection; Traffic data; Vehicle detectors
• Subject Areas: Data and Information Technology; Finance; Highways; I10: Economics and Administration;

Filing Info

• Accession Number: 01501651
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 23 2013 7:52AM