Real-time lane detection for outdoor autonomous guided vehicles

Real-time lane detection for outdoor autonomous guided vehicles

This dissertation purposes a vision-based lane detection and tracking algorithm for outdoor Autonomous Guided Vehicles (AGVs). The basic approach in this project is to work on the ground image of the road surface, in real world space, with perspective effect removed. The advantage of working on the...

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Main Author: Yong, Wen Huei.
Other Authors: Teoh, Eam Khwang
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Online Access:http://hdl.handle.net/10356/3907
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-3907
record_format dspace
spelling sg-ntu-dr.10356-39072023-07-04T15:20:00Z Real-time lane detection for outdoor autonomous guided vehicles Yong, Wen Huei. Teoh, Eam Khwang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering This dissertation purposes a vision-based lane detection and tracking algorithm for outdoor Autonomous Guided Vehicles (AGVs). The basic approach in this project is to work on the ground image of the road surface, in real world space, with perspective effect removed. The advantage of working on the ground image is that we can make valid assumptions of the road geometry such as, the lane markings on two sides of the road are parallel and the lane width is constant. Master of Science (Computer Control and Automation) 2008-09-17T09:40:10Z 2008-09-17T09:40:10Z 2005 2005 Thesis http://hdl.handle.net/10356/3907 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Yong, Wen Huei.
Real-time lane detection for outdoor autonomous guided vehicles
description This dissertation purposes a vision-based lane detection and tracking algorithm for outdoor Autonomous Guided Vehicles (AGVs). The basic approach in this project is to work on the ground image of the road surface, in real world space, with perspective effect removed. The advantage of working on the ground image is that we can make valid assumptions of the road geometry such as, the lane markings on two sides of the road are parallel and the lane width is constant.
author2 Teoh, Eam Khwang
author_facet Teoh, Eam Khwang
Yong, Wen Huei.
format Theses and Dissertations
author Yong, Wen Huei.
author_sort Yong, Wen Huei.
title Real-time lane detection for outdoor autonomous guided vehicles
title_short Real-time lane detection for outdoor autonomous guided vehicles
title_full Real-time lane detection for outdoor autonomous guided vehicles
title_fullStr Real-time lane detection for outdoor autonomous guided vehicles
title_full_unstemmed Real-time lane detection for outdoor autonomous guided vehicles
title_sort real-time lane detection for outdoor autonomous guided vehicles
publishDate 2008
url http://hdl.handle.net/10356/3907
_version_ 1772825422455635968

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