DocumentCode :
1864467
Title :
Bar code detection using omnidirectional vision for automated guided vehicle navigation
Author :
Taha, Zahari ; Mat-Jizat, J.A. ; Ishak, Iskandar
Author_Institution :
Faculty of Manufacturing Engineering, Universiti Malaysia Pahang, 26600, Pekan, Malaysia
fYear :
2012
fDate :
3-5 March 2012
Firstpage :
589
Lastpage :
592
Abstract :
In this paper, a study on detectability and readability of barcodes using omnidirectional vision system for automated guided vehicle is presented. Images from omnidirectional camera are known to be distorted against the height of the object. We present an algorithm for detecting and reading barcodes successfully without correcting the image distortion. Experiments were conducted both when the AGV was in motion and at rest. Three contributing factors were identified for successful barcodes detection and reading.
Keywords :
AGV; barcode; landmark; omnidirectional vision;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location :
Xiamen
Electronic_ISBN :
978-1-84919-537-9
Type :
conf
DOI :
10.1049/cp.2012.1048
Filename :
6492655
Link To Document :
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