VEHICLES DETECTION FOR TRAFFIC CONTROL

This paper presents a two stage methodology using artificial vision to detect vehicles on highways. In the first stage, the dimensional and morphological study of the analyzed highway is carried out in order to model it and to calibrate the vision system. In the second stage vehicles are detected by matching clear and dark blobs and bright headlight images. The vehicles' positions allow access to space and time information that characterizes traffic flow and permits automatic traffic control.

• Supplemental Notes:
  • Publication Date: 1995
• Corporate Authors:

  Texas Transportation Institute

  Texas A&M University System, 3135 TAMU
  College Station, TX  United States  77843-3135
• Authors:
  • Taktak, R
  • DUFAUT, MICHEL
  • Husson, R
• Publication Date: 1995

Language

• English

Media Info

• Pagination: p. 783-786
• Serial:
  • Systems analysis, modelling, simulation. Vol. 18-19
  • Publisher: Texas Transportation Institute

Subject/Index Terms

• TRT Terms: Computer vision; Traffic control; Vehicle detectors
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00774090
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 1999 12:00AM