Vehicle and Pedestrian Collision Prevention System Based on Smart Video Surveillance and C2I Communication

Hundreds of thousands of pedestrians are involved in severe traffic accidents every year world-wide. Reasons for these accidents include complex and highly dynamic traffic situations where views are obstructed or unexpected movement occurs. Driver assistance systems are a valid option for increasing pedestrian safety by enhancing the awareness of complex traffic situations and identifying potential dangers. In this work, the authors present a collision avoidance system based on smart video surveillance and car-to-infrastructure communication. They use a distributed system of monocular cameras to determine the position of both vehicles and pedestrians in real time. In addition, the authors utilize standard car-2-x communication technology (ETSI ITS G5) to provide all position detections to the vehicles, thus enabling complex use cases such as warning cascades to drivers in case of oncoming dangers. A detailed evaluation of the proposed system and collision warning use case demonstrates the suitability as assistance system for human drivers. The authors also show that automatic braking systems would lead to drastic performance improvements due to a significant reduction of reaction times.

• Record URL:
  https://doi.org/10.1109/ITSC.2014.6958186
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6948869
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Becker, D
  • Schaufele, B
  • Einsiedler, J
  • Sawade, O
  • Radusch, I
• Conference:
  • 17th International IEEE Conference on Intelligent Transportation Systems (ITSC14)
  • Location: Qingdao , China
  • Date: 2014-10-8 to 2014-10-11
• Publication Date: 2014-10

Language

• English

Media Info

• Media Type: Print
• Features: References;
• Pagination: pp 3088-3093
• Monograph Title: 17th International IEEE Conference on Intelligent Transportation Systems (ITSC14)

Subject/Index Terms

• TRT Terms: Crash avoidance systems; Driver support systems; Pedestrian safety; Pedestrian vehicle crashes; Reaction time; Real time information; Surveillance; Vehicle to infrastructure communications
• Subject Areas: Highways; Pedestrians and Bicyclists; Safety and Human Factors; I83: Accidents and the Human Factor; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01564653
• Record Type: Publication
• Files: TRIS
• Created Date: May 26 2015 4:13PM