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Depth estimation from vision based wireless monocular camera sensor for soccer robot applications in MiroSot Middle League

Master of Science (Mechatronic Engineering)

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Bibliographic Details
Main Author: Mohd Nadhir, Ab Wahab
Other Authors: Assoc. Prof. Dr. Kenneth Sundaraj
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2019
Subjects:
MiroSot
Image processing
Optical data processing
Computers, Optical
Optical pattern recognition
Computer vision
Robot vision
Artificial vision
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/63446
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spelling my.unimap-634462019-11-29T04:04:08Z Depth estimation from vision based wireless monocular camera sensor for soccer robot applications in MiroSot Middle League Mohd Nadhir, Ab Wahab Assoc. Prof. Dr. Kenneth Sundaraj MiroSot Image processing Optical data processing Computers, Optical Optical pattern recognition Computer vision Robot vision Artificial vision Master of Science (Mechatronic Engineering) MiroSot is an area where robotics fields such as mobility structure, artificial intelligence. vision system, multi-agents, wireless communication and autonomous behaviour are of paramount importance. One of the most crucial parts of this overall system is the vision system. This system could determine the winning factor during a MiroSot competition. In this project, we are implementing a local vision system to determine the motion and behaviour of the soccer robot instead of a global vision system that is currently being used. Since there is limitation in the size of the mobile robot as stated in the MiroSot rules, hence some modification needs to be done on the vision system. A monocular vision system is used as an alternative to the more popular stereo vision system without neglecting the depth estimation aspect to determine ball distance and position. By using the CamShift algorithm to detect the ball, we use the ball diameter to estimate the distance of the ball. The calibration data has been tested and has shows that it gives accurate and precise distance estimation. By using this information, the soccer robot will try to avoid any obstacle by performing a sequence of movements. The details on how we obtained the calibration data for depth estimation and the testing phase have also been provided in this thesis. We also show how we test our control system and the results can be found in result chapter. The long term goal behind this project is to create a biologically inspired vision system for the soccer robot. 2019-11-29T04:04:08Z 2019-11-29T04:04:08Z 2012 Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/63446 en Universiti Malaysia Perlis (UniMAP) School of Mechatronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic MiroSot
Image processing
Optical data processing
Computers, Optical
Optical pattern recognition
Computer vision
Robot vision
Artificial vision
spellingShingle MiroSot
Image processing
Optical data processing
Computers, Optical
Optical pattern recognition
Computer vision
Robot vision
Artificial vision
Mohd Nadhir, Ab Wahab
Depth estimation from vision based wireless monocular camera sensor for soccer robot applications in MiroSot Middle League
description Master of Science (Mechatronic Engineering)
author2 Assoc. Prof. Dr. Kenneth Sundaraj
author_facet Assoc. Prof. Dr. Kenneth Sundaraj
Mohd Nadhir, Ab Wahab
format Thesis
author Mohd Nadhir, Ab Wahab
author_sort Mohd Nadhir, Ab Wahab
title Depth estimation from vision based wireless monocular camera sensor for soccer robot applications in MiroSot Middle League
title_short Depth estimation from vision based wireless monocular camera sensor for soccer robot applications in MiroSot Middle League
title_full Depth estimation from vision based wireless monocular camera sensor for soccer robot applications in MiroSot Middle League
title_fullStr Depth estimation from vision based wireless monocular camera sensor for soccer robot applications in MiroSot Middle League
title_full_unstemmed Depth estimation from vision based wireless monocular camera sensor for soccer robot applications in MiroSot Middle League
title_sort depth estimation from vision based wireless monocular camera sensor for soccer robot applications in mirosot middle league
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2019
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/63446
_version_ 1651868841599303680
score 13.214268

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