Eye Tracking System Development for Vehicle Application

A sensor to detect driver’s eye gaze angle is under development to prevent car accidents caused by inattentive driving. An image-processing algorithm calculates eye gaze angle by detecting pupil center and estimating eyeball center. To estimate it, our algorithm uses Cornea Reflection Method (CRM) and Eyeball Model Fitting Method (EMFM). If Purkinje image, which is a reflection of lighting from cornea, is detected, eye gaze angle is calculated from CRM. On the other hand, if Purkinje image is not detected, it is calculated from EMFM. The algorithm performs robustly under various facial shapes.

• Supplemental Notes:
  • Abstract reprinted with permission from Intelligent Transportation Society of America. The Table of Contents on the DVD lists the title of this paper as "An Eye Tracking System Development for Vehicle Application".
• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Ohno, Kazuyuki
  • Nakabayashi, Atsushi
  • Kawano, Takashi
  • Suzuki, Tomoharu
  • Kojima, Shinichi
  • Sakaguchi, Yasuo
  • Yoshimura, Takayoshi
  • Nakanishi, Satoru
• 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: 7p
• Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012

Subject/Index Terms

• TRT Terms: Algorithms; Distraction; Driver performance; Eye movements; Image processing; Monitoring; Traffic crashes
• Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01501965
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 23 2013 7:53AM