Automatic Object Detection with Rear Cameras

The project goal is to develop automatic object detection in images/video provided by the rear cameras. Such automatic object detection can provide an alert to the driver. According to Kidsandcars.org, the number of backing-up fatalities increased five-fold from 88 (1996-2000) to 448 (2006-10). The project object detection method will consist of 3 steps. (1) Normalization: Images acquired change in appearance due to weather and illumination conditions, lens distortion and other factors. (2) Feature Computation: Systematically evaluate and select features. (3) Classification: Determine the presence of objects.

    Language

    • English

    Project

    • Status: Active
    • Funding: $50000.00
    • Contract Numbers:

      DTRT12GUTG11

    • Sponsor Organizations:

      Research and Innovative Technology Administration

      University Transportation Centers Program
      1200 New Jersey Avenue
      Washington, DC  United States  20590

      Carnegie Mellon University

      Pittsburgh, PA  United States 

      Technologies for Safe and Efficient Transportation University Transportation Center

      Carnegie Mellon University
      Pittsburgh, PA  United States  15213
    • Project Managers:

      Ehrlichman, Courtney

    • Principal Investigators:

      Bhagavatula, VIjayakumar

    • Start Date: 20140131
    • Expected Completion Date: 0
    • Actual Completion Date: 20141231
    • Source Data: RiP Project 36211

    Subject/Index Terms

    Filing Info

    • Accession Number: 01517369
    • Record Type: Research project
    • Source Agency: Technologies for Safe and Efficient Transportation University Transportation Center
    • Contract Numbers: DTRT12GUTG11
    • Files: UTC, RiP
    • Created Date: Mar 7 2014 1:00AM