Enhanced Pedestrian and Vehicle Detection Using Surround-View Camera System

An alarming number of fatalities occur every year due to backover i.e. drivers not noticing objects behind their vehicles while reversing. Due to the increase in the size of the vehicles and the associated blind spots, the number of backover fatalities has been on the rise. According to www.kidsandcars.org, at least 50 children are backed over by cars every week in the US. Further, according to the Bureau of Labor Statistics, over 70 workers died from backover incidents in 2011. In an attempt to reduce the number of such incidents, rearview cameras are becoming standard in many vehicles (in US, 44 percent of 2012 models came with rear cameras standard, according to the automotive research firm Edmunds) to help the drivers see the objects in the rear blind zone. However, according to www.kidsandcars.org, it was found in an Oregon research study that only one in five drivers used a rearview camera when it was available. The objective of this research was to develop automated object detections algorithms for videos captured using rearview cameras. Accurate detection of undesired objects behind a parked vehicle can be used to trigger alarms, which can be useful in reducing the chances of backover accidents. In this report, the authors summarize the major achievements of this research project.

• Record URL:
  • http://ppms.cit.cmu.edu/media/project_files/UTC_42.pdf
• 
• Summary URL:
  • http://utc.ices.cmu.edu/utc/projectitem.asp?ID=187
• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/64380
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Technologies for Safe and Efficient Transportation University Transportation Center

  Carnegie Mellon University
  Pittsburgh, PA  United States  15213

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Bhagavatula, VIjayakumar
• Publication Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Research Report
• Features: Figures; Photos; References; Tables;
• Pagination: 8p

Subject/Index Terms

• TRT Terms: Algorithms; Automation; Backing (Driving); Cameras; Detection and identification technologies; Driver support systems; Image analysis; Pedestrian detectors; Video
• Subject Areas: Data and Information Technology; Highways; Pedestrians and Bicyclists; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01688434
• Record Type: Publication
• Contract Numbers: DTRT-13-GUTC-26
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: Dec 14 2018 9:32AM