Landmark detection for vision based of autonomous guided vehicle

The creation of Autonomous Guided Vehicle (AGV) gives many advantages in our lives. This thesis is focused on navigation control system for an Autonomous Guided Vehicle (AGV) by detecting and recognizing artificial landmark with using USB webcam. USB webcam act as sensor that provides the appropriat...

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Bibliographic Details
Main Author:	Nurul Atiqah Syazwani, Kamarudin
Format:	Undergraduates Project Papers
Language:	English
Published:	2012
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/3469/ http://umpir.ump.edu.my/id/eprint/3469/ http://umpir.ump.edu.my/id/eprint/3469/1/cd6269_91.pdf

id	ump-3469
recordtype	eprints
spelling	ump-34692015-03-03T08:01:22Z http://umpir.ump.edu.my/id/eprint/3469/ Landmark detection for vision based of autonomous guided vehicle Nurul Atiqah Syazwani, Kamarudin TJ Mechanical engineering and machinery The creation of Autonomous Guided Vehicle (AGV) gives many advantages in our lives. This thesis is focused on navigation control system for an Autonomous Guided Vehicle (AGV) by detecting and recognizing artificial landmark with using USB webcam. USB webcam act as sensor that provides the appropriate information for the AGV navigation and landmark detection. This project involved single vision system. The aim of this project is to develop an algorithm for vision based AGV. Several image processing pipelines involved in this project. The algorithm is developed not only to detect and recognize but also to distinguish landmark from non-landmark. Non-landmark might possibly have the same features or characteristic with landmarks. The landmarks must be detected and recognized by vision sensor accurately in a real-time. The landmarks are in the form of shape that consists of command for the movement, direction and position of AGV. The key study in this project is the algorithm design. 2012-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3469/1/cd6269_91.pdf Nurul Atiqah Syazwani, Kamarudin (2012) Landmark detection for vision based of autonomous guided vehicle. Faculty of Manufacturing Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my:8080/lib/item?id=chamo:65161&theme=UMP
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Nurul Atiqah Syazwani, Kamarudin Landmark detection for vision based of autonomous guided vehicle
description	The creation of Autonomous Guided Vehicle (AGV) gives many advantages in our lives. This thesis is focused on navigation control system for an Autonomous Guided Vehicle (AGV) by detecting and recognizing artificial landmark with using USB webcam. USB webcam act as sensor that provides the appropriate information for the AGV navigation and landmark detection. This project involved single vision system. The aim of this project is to develop an algorithm for vision based AGV. Several image processing pipelines involved in this project. The algorithm is developed not only to detect and recognize but also to distinguish landmark from non-landmark. Non-landmark might possibly have the same features or characteristic with landmarks. The landmarks must be detected and recognized by vision sensor accurately in a real-time. The landmarks are in the form of shape that consists of command for the movement, direction and position of AGV. The key study in this project is the algorithm design.
format	Undergraduates Project Papers
author	Nurul Atiqah Syazwani, Kamarudin
author_facet	Nurul Atiqah Syazwani, Kamarudin
author_sort	Nurul Atiqah Syazwani, Kamarudin
title	Landmark detection for vision based of autonomous guided vehicle
title_short	Landmark detection for vision based of autonomous guided vehicle
title_full	Landmark detection for vision based of autonomous guided vehicle
title_fullStr	Landmark detection for vision based of autonomous guided vehicle
title_full_unstemmed	Landmark detection for vision based of autonomous guided vehicle
title_sort	landmark detection for vision based of autonomous guided vehicle
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/3469/ http://umpir.ump.edu.my/id/eprint/3469/ http://umpir.ump.edu.my/id/eprint/3469/1/cd6269_91.pdf
first_indexed	2023-09-18T21:57:48Z
last_indexed	2023-09-18T21:57:48Z
_version_	1777414196080672768

Landmark detection for vision based of autonomous guided vehicle

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