Landmark Tracking Using Unrectified Omniirectional Image for an Automated Guided Vehicle

In this paper, a study on landmark tracking using unrectified omnidirectional image for automated guided vehicle is presented. Omnidirectional image from a catadioptric camera may appear distorted against the height of an object. However, for a flat object on the floor, the distortion is negligible...

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Bibliographic Details
Main Authors:	Zahari, Taha, Jessnor Arif, Mat Jizat
Other Authors:	Kim, Jong-Hwan
Format:	Book Section
Language:	English
Published:	Springer 2015
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/9118/ http://umpir.ump.edu.my/id/eprint/9118/ http://umpir.ump.edu.my/id/eprint/9118/ http://umpir.ump.edu.my/id/eprint/9118/1/fkp-2015-zahari-Landmark%20Tracking%20Using%20Unrectified.pdf

id	ump-9118
recordtype	eprints
spelling	ump-91182018-01-22T05:51:49Z http://umpir.ump.edu.my/id/eprint/9118/ Landmark Tracking Using Unrectified Omniirectional Image for an Automated Guided Vehicle Zahari, Taha Jessnor Arif, Mat Jizat TS Manufactures In this paper, a study on landmark tracking using unrectified omnidirectional image for automated guided vehicle is presented. Omnidirectional image from a catadioptric camera may appear distorted against the height of an object. However, for a flat object on the floor, the distortion is negligible thus can be advantageous for on-the-ground landmark; Landmark used in this study was Code-128 standard barcode. The barcode is modified to suit the detection process where the barcode adopted cyan instead of white background and bears a red strip on top for orientation. The image processing can directly begin tracking landmarks when no distortion rectification in the image was required. We adopted a topological map approach where the automated guided vehicle moves from landmark to landmark. Experiments were conducted on a small four wheel drive, four wheel steering automated guided vehicle. The results were measured through number of successful consequent tracking of the landmark. Springer Kim, Jong-Hwan Yang , Weimin Jo, Jun Sincak, Peter Myung, Hyun 2015 Book Section PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9118/1/fkp-2015-zahari-Landmark%20Tracking%20Using%20Unrectified.pdf Zahari, Taha and Jessnor Arif, Mat Jizat (2015) Landmark Tracking Using Unrectified Omniirectional Image for an Automated Guided Vehicle. In: Robot Intelligence Technology and Applications 3. Advances in Intelligent Systems and Computing, 345 . Springer, Switzerland, pp. 663-673. ISBN 978-3-319-16840-1 (print); 978-3-319-16841-8 (online) http://dx.doi.org/10.1007/978-3-319-16841-8_60 doi: 10.1007/978-3-319-16841-8_60
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TS Manufactures
spellingShingle	TS Manufactures Zahari, Taha Jessnor Arif, Mat Jizat Landmark Tracking Using Unrectified Omniirectional Image for an Automated Guided Vehicle
description	In this paper, a study on landmark tracking using unrectified omnidirectional image for automated guided vehicle is presented. Omnidirectional image from a catadioptric camera may appear distorted against the height of an object. However, for a flat object on the floor, the distortion is negligible thus can be advantageous for on-the-ground landmark; Landmark used in this study was Code-128 standard barcode. The barcode is modified to suit the detection process where the barcode adopted cyan instead of white background and bears a red strip on top for orientation. The image processing can directly begin tracking landmarks when no distortion rectification in the image was required. We adopted a topological map approach where the automated guided vehicle moves from landmark to landmark. Experiments were conducted on a small four wheel drive, four wheel steering automated guided vehicle. The results were measured through number of successful consequent tracking of the landmark.
author2	Kim, Jong-Hwan
author_facet	Kim, Jong-Hwan Zahari, Taha Jessnor Arif, Mat Jizat
format	Book Section
author	Zahari, Taha Jessnor Arif, Mat Jizat
author_sort	Zahari, Taha
title	Landmark Tracking Using Unrectified Omniirectional Image for an Automated Guided Vehicle
title_short	Landmark Tracking Using Unrectified Omniirectional Image for an Automated Guided Vehicle
title_full	Landmark Tracking Using Unrectified Omniirectional Image for an Automated Guided Vehicle
title_fullStr	Landmark Tracking Using Unrectified Omniirectional Image for an Automated Guided Vehicle
title_full_unstemmed	Landmark Tracking Using Unrectified Omniirectional Image for an Automated Guided Vehicle
title_sort	landmark tracking using unrectified omniirectional image for an automated guided vehicle
publisher	Springer
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/9118/ http://umpir.ump.edu.my/id/eprint/9118/ http://umpir.ump.edu.my/id/eprint/9118/ http://umpir.ump.edu.my/id/eprint/9118/1/fkp-2015-zahari-Landmark%20Tracking%20Using%20Unrectified.pdf
first_indexed	2023-09-18T22:07:21Z
last_indexed	2023-09-18T22:07:21Z
_version_	1777414796619022336

Landmark Tracking Using Unrectified Omniirectional Image for an Automated Guided Vehicle

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