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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Bibliographic Details
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
Description
Summary: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.

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