Skip to Main Content
Frequently Asked Questions
Submit an ETD
Global Search Box
Need Help?
Keyword Search
Participating Institutions
Advanced Search
School Logo
Files
File List
Thesis-YaqiLi.pdf (8.73 MB)
ETD Abstract Container
Abstract Header
Road Pothole Detection System Based on Stereo Vision
Author Info
Li, Yaqi
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=case1525708920748809
Abstract Details
Year and Degree
2018, Master of Sciences, Case Western Reserve University, EECS - Computer Engineering.
Abstract
In this thesis, we propose a stereo vision system which detects potholes during driving. The objective is to benefit drivers to react to potholes in advance. This system contains two USB cameras taking photo simultaneously. We use parameters obtained from camera calibration with checkerboard to calculate the disparity map. 2-dimensional image points can be projected to 3-dimensional world points using the disparity map. With all the 3-dimensional points, we use the bi-square weighted robust least-squares approximation for road surface fitting. All points below the road surface model can be detected as pothole region. In case there are more than one pothole on the road, we use the connected component labelling algorithm to label pothole points into different potholes according to the 0 or 1 connection between pixels in binary images. The size and depth of each pothole can be obtained as well. The experiments we conducted show robust detection of potholes in different road and light conditions.
Committee
Christos Papachristou (Advisor)
Francis Merat (Committee Member)
Daniel Saab (Committee Member)
Pages
53 p.
Subject Headings
Computer Engineering
Keywords
road potholes
;
stereo vision
;
surface fitting
;
dispariy
Recommended Citations
Refworks
EndNote
RIS
Mendeley
Citations
Li, Y. (2018).
Road Pothole Detection System Based on Stereo Vision
[Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1525708920748809
APA Style (7th edition)
Li, Yaqi.
Road Pothole Detection System Based on Stereo Vision.
2018. Case Western Reserve University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=case1525708920748809.
MLA Style (8th edition)
Li, Yaqi. "Road Pothole Detection System Based on Stereo Vision." Master's thesis, Case Western Reserve University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1525708920748809
Chicago Manual of Style (17th edition)
Abstract Footer
Document number:
case1525708920748809
Download Count:
3,548
Copyright Info
© 2018, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.