Title page for ETD etd-09112003-021801

Type of Document

Master's Thesis

Author

Gopinath, Sudhir

Author's Email Address

sudhirgopinath@yahoo.com

URN

etd-09112003-021801

Title

Using Color and Shape Analysis for Boundary Line Extraction in Autonomous Vehicle Applications

Degree

Master of Science

Department

Mechanical Engineering

Advisory Committee

Advisor Name	Title
Reinholtz, Charles F.	Committee Chair
Kachroo, Pushkin	Committee Member
Saunders, William R.	Committee Member

Keywords

Binary Image Analysis
Computer Vision
Autonomous Vehicles
Line Recognition
Color Extraction
Shape Analysis
Mobile Robots

Date of Defense

2002-12-20

Availability

unrestricted

Abstract

Autonomous vehicles are the subject of intense research because they are a safe and convenient alternative to present-day vehicles. Human drivers base their navigational decisions primarily on visual information and researchers have been attempting to use computers to do the same.

The current challenge in using computer vision lies not in the collection or transmission of visual data, but in the perception of visual data to extract from it useful information. The focus of this thesis is on the use of computer vision to navigate an autonomous vehicle that will participate in the Intelligent Ground Vehicle Competition (IGVC.)

This document starts with a description of the IGVC and the software design of an autonomous vehicle. This thesis then focuses on the weakest link in the system - the computer vision module. Vehicles at the IGVC are expected to autonomously navigate an obstacle course. Competing vehicles need to recognize and stay between lines painted on grass or pavement. The research presented in this document describes two methods used for boundary line extraction: color-based object extraction, and shape analysis for line recognition.

This is the first time a combination of these methods is being applied to the problem of line recognition in the context of the IGVC. The most significant contribution of this work is a method for extracting lines in a binary image even when the line is attached to a shape that is not a line. Novel methods have been used to simplify camera calibration, and for perspective correction of the image. The results give promise of vastly improved autonomous vehicle performance.

Files

Filename		Size	Approximate Download Time (Hours:Minutes:Seconds)
Filename		Size	28.8 Modem	56K Modem	ISDN (64 Kb)	ISDN (128 Kb)	Higher-speed Access
	ThesisSudhir003Final.pdf	5.09 Mb	00:23:33	00:12:06	00:10:35	00:05:17	00:00:27