Vehicle Detection Using Android Smartphones

Rear-end collisions are the most common traffic accidents. Technologies, such as collision warning systems, are developed to reduce the risks of rear-end collisions. This study presents a mobile technology using smartphones to detect the leading vehicle, allowing the possibility to make collision warning systems more affordable and portable. This technology uses the rear camera of an Android smartphone to capture images of driving scenes, and then uses advanced computer vision algorithms to detect and track the leading vehicle. This study may have important applications to improve driving safety.

• Record URL:
  http://drivingassessment.uiowa.edu/sites/default/files/DA2013/Papers/047_He_0.pdf
• 
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780615819723
• Corporate Authors:

  University of Iowa, Iowa City

  Public Policy Center
  Department of Civil and Environmental Engineering
  Iowa City, IA  United States  52242-1192
• Authors:
  • Ren, Zhiquan
  • Wang, Chun
  • He, Jibo
• Conference:
  • 7th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design
  • Location: Bolton Landing New York, United States
  • Date: 2013-6-17 to 2013-6-20
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: 7p
• Monograph Title: Driving Assessment 2013: Proceedings of the 7th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design

Subject/Index Terms

• TRT Terms: Crash avoidance systems; Highway safety; Rear end crashes; Smartphones; Vehicle detectors; Warning systems
• Uncontrolled Terms: Lead vehicles
• Subject Areas: Highways; Safety and Human Factors; I80: Accident Studies;

Filing Info

• Accession Number: 01493893
• Record Type: Publication
• ISBN: 9780615819723
• Report/Paper Numbers: 47
• Files: TRIS
• Created Date: Sep 24 2013 9:12AM