Intelligent road recognition system for automous vehicle
An autonomous vehicle is a self-driving vehicle, that requires no operator to be involve in performing the set tasks. It is developed to assist humans in everyday tasks with the advantages of eliminating errors and reducing the need for human observation. For an autonomous vehicle to move with...
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2013
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my-uthm-ep.21322021-10-31T02:42:37Z Intelligent road recognition system for automous vehicle 2013-01 Soon, Adrian Bee Toing TL Motor vehicles. Aeronautics. Astronautics TL1-484 Motor vehicles. Cycles An autonomous vehicle is a self-driving vehicle, that requires no operator to be involve in performing the set tasks. It is developed to assist humans in everyday tasks with the advantages of eliminating errors and reducing the need for human observation. For an autonomous vehicle to move with flexibility or to adapt to a new road environment, it needs to have human-like perception and intelligence. This project proposes an intelligent visual perception system for an autonomous vehicle. It consists of a camera vision system that captures the road image. The image features are extracted using simple image processing algorithms and are trained using artificial neural network (ANN). The trained system is able to recognize some predetermined road patterns. Further experimental tests are designed to justify the performance of the system settings. An optimized set of image quality and the ANN network structures are chosen. 2013-01 Thesis http://eprints.uthm.edu.my/2132/ http://eprints.uthm.edu.my/2132/1/24p%20SOON%20ADRIAN%20BEE%20TIONG.pdf text en public http://eprints.uthm.edu.my/2132/2/SOON%20ADRIAN%20BEE%20TIONG%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/2132/3/SOON%20ADRIAN%20BEE%20TIONG%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik |
institution |
Universiti Tun Hussein Onn Malaysia |
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UTHM Institutional Repository |
language |
English English English |
topic |
TL Motor vehicles Aeronautics Astronautics TL Motor vehicles Aeronautics Astronautics |
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TL Motor vehicles Aeronautics Astronautics TL Motor vehicles Aeronautics Astronautics Soon, Adrian Bee Toing Intelligent road recognition system for automous vehicle |
description |
An autonomous vehicle is a self-driving vehicle, that requires no operator to be
involve in performing the set tasks. It is developed to assist humans in everyday tasks
with the advantages of eliminating errors and reducing the need for human
observation. For an autonomous vehicle to move with flexibility or to adapt to a new
road environment, it needs to have human-like perception and intelligence. This
project proposes an intelligent visual perception system for an autonomous vehicle. It
consists of a camera vision system that captures the road image. The image features
are extracted using simple image processing algorithms and are trained using
artificial neural network (ANN). The trained system is able to recognize some
predetermined road patterns. Further experimental tests are designed to justify the
performance of the system settings. An optimized set of image quality and the ANN
network structures are chosen. |
format |
Thesis |
qualification_name |
Master of Philosophy (M.Phil.) |
qualification_level |
Master's degree |
author |
Soon, Adrian Bee Toing |
author_facet |
Soon, Adrian Bee Toing |
author_sort |
Soon, Adrian Bee Toing |
title |
Intelligent road recognition system for automous vehicle |
title_short |
Intelligent road recognition system for automous vehicle |
title_full |
Intelligent road recognition system for automous vehicle |
title_fullStr |
Intelligent road recognition system for automous vehicle |
title_full_unstemmed |
Intelligent road recognition system for automous vehicle |
title_sort |
intelligent road recognition system for automous vehicle |
granting_institution |
Universiti Tun Hussein Onn Malaysia |
granting_department |
Fakulti Kejuruteraan Elektrik dan Elektronik |
publishDate |
2013 |
url |
http://eprints.uthm.edu.my/2132/1/24p%20SOON%20ADRIAN%20BEE%20TIONG.pdf http://eprints.uthm.edu.my/2132/2/SOON%20ADRIAN%20BEE%20TIONG%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2132/3/SOON%20ADRIAN%20BEE%20TIONG%20WATERMARK.pdf |
_version_ |
1747830913505427456 |