A Comparison of Two Approaches for Collision Avoidance of an Automated Guided Vehicle Using Monocular Vision

In this paper a comparison of two approaches for collision avoidance of an automated guided vehicle (AGV) using monocular vision is presented. The first approach is by floor sampling. The floor where the AGV operates, is usually monotone. Thus, by sampling the floor, the information can be used to s...

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Main Authors: Zahari, Taha, Jessnor Arif, Mat Jizat
Format: Article
Language:en
Published: scientific.net 2012
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Online Access:http://umpir.ump.edu.my/id/eprint/2376/1/AMM.145.547.pdf
http://umpir.ump.edu.my/id/eprint/2376/
http://www.scientific.net/AMM
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author Zahari, Taha
Jessnor Arif, Mat Jizat
author_facet Zahari, Taha
Jessnor Arif, Mat Jizat
author_sort Zahari, Taha
building UMPSA Library
collection Institutional Repository
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
continent Asia
country Malaysia
description In this paper a comparison of two approaches for collision avoidance of an automated guided vehicle (AGV) using monocular vision is presented. The first approach is by floor sampling. The floor where the AGV operates, is usually monotone. Thus, by sampling the floor, the information can be used to search similar pixels and establish the floor plane in its vision. Therefore any other objects are considered as obstacles and should be avoided. The second approach employs the Canny edge detection method. The Canny edge detection method allows accurate detection, close to real object, and minimum false detection by image noise. Using this method, every edge detected is considered to be part of an obstacle. This approach tries to avoid the nearest obstacle to its vision. Experiments are conducted in a control environment. The monocular camera is mounted on an ERP-42 Unmanned Solution robot platform and is the sole sensor providing information for the robot about its environment
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institution Universiti Malaysia Pahang
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spelling my.ump.umpir.23762018-01-22T02:44:45Z http://umpir.ump.edu.my/id/eprint/2376/ A Comparison of Two Approaches for Collision Avoidance of an Automated Guided Vehicle Using Monocular Vision Zahari, Taha Jessnor Arif, Mat Jizat TS Manufactures TK Electrical engineering. Electronics Nuclear engineering In this paper a comparison of two approaches for collision avoidance of an automated guided vehicle (AGV) using monocular vision is presented. The first approach is by floor sampling. The floor where the AGV operates, is usually monotone. Thus, by sampling the floor, the information can be used to search similar pixels and establish the floor plane in its vision. Therefore any other objects are considered as obstacles and should be avoided. The second approach employs the Canny edge detection method. The Canny edge detection method allows accurate detection, close to real object, and minimum false detection by image noise. Using this method, every edge detected is considered to be part of an obstacle. This approach tries to avoid the nearest obstacle to its vision. Experiments are conducted in a control environment. The monocular camera is mounted on an ERP-42 Unmanned Solution robot platform and is the sole sensor providing information for the robot about its environment scientific.net 2012-03-01 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2376/1/AMM.145.547.pdf Zahari, Taha and Jessnor Arif, Mat Jizat (2012) A Comparison of Two Approaches for Collision Avoidance of an Automated Guided Vehicle Using Monocular Vision. Applied Mechanics and Materials, 145. pp. 547-551. ISSN 1662-7482. (Published) http://www.scientific.net/AMM
spellingShingle TS Manufactures
TK Electrical engineering. Electronics Nuclear engineering
Zahari, Taha
Jessnor Arif, Mat Jizat
A Comparison of Two Approaches for Collision Avoidance of an Automated Guided Vehicle Using Monocular Vision
title A Comparison of Two Approaches for Collision Avoidance of an Automated Guided Vehicle Using Monocular Vision
title_full A Comparison of Two Approaches for Collision Avoidance of an Automated Guided Vehicle Using Monocular Vision
title_fullStr A Comparison of Two Approaches for Collision Avoidance of an Automated Guided Vehicle Using Monocular Vision
title_full_unstemmed A Comparison of Two Approaches for Collision Avoidance of an Automated Guided Vehicle Using Monocular Vision
title_short A Comparison of Two Approaches for Collision Avoidance of an Automated Guided Vehicle Using Monocular Vision
title_sort comparison of two approaches for collision avoidance of an automated guided vehicle using monocular vision
topic TS Manufactures
TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/2376/1/AMM.145.547.pdf
http://umpir.ump.edu.my/id/eprint/2376/
http://www.scientific.net/AMM
url_provider http://umpir.ump.edu.my/