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Project

#147 Automatic Object Detection with Rear Cameras


Principal Investigator
Vijayakumar Bhagavatula
Status
Completed
Start Date
Jan. 1, 2014
End Date
Dec. 31, 2014
Project Type
Research Advanced
Grant Program
MAP-21 TSET - Tier 1 (2012 - 2016)
Grant Cycle
2014 TSET UTC
Visibility
Public

Abstract

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). Our 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.    
Description
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Timeline
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Strategic Description / RD&T

    
Deployment Plan
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Expected Outcomes/Impacts
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Expected Outputs

    
TRID


    

Individuals Involved

Email Name Affiliation Role Position
kumar@ece.cmu.edu Bhagavatula, Vijayakumar ECE PI Faculty - Tenured

Budget

Amount of UTC Funds Awarded
$50000.00
Total Project Budget (from all funding sources)
$50000.00

Documents

Type Name Uploaded
Final Report 147_-_Final_Report.pdf Jan. 10, 2019, 12:06 p.m.

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