Autonomous underwater vehicle navigation using vision
58 p.
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التنسيق: | Theses and Dissertations |
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2011
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الوصول للمادة أونلاين: | http://hdl.handle.net/10356/46897 |
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المؤسسة: | Nanyang Technological University |
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sg-ntu-dr.10356-468972023-07-04T16:06:48Z Autonomous underwater vehicle navigation using vision Lakshmisha Honnegowda Wijerupage Sardha Wijesoma School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 58 p. This project has achieved the localization of an Autonomous Underwater Vehicle (AUV) in an underwater environment. A CCD camera, mounted at the bottom of an AUV is the only vision sensor. The SIFT algorithm, which identifies images and objects irrespective of changes in scale and viewpoint perspective has been implemented. Master of Science (Computer Control and Automation) 2011-12-27T05:42:57Z 2011-12-27T05:42:57Z 2011 Thesis http://hdl.handle.net/10356/46897 Nanyang Technological University application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
topic |
DRNTU::Engineering::Electrical and electronic engineering |
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DRNTU::Engineering::Electrical and electronic engineering Lakshmisha Honnegowda Autonomous underwater vehicle navigation using vision |
description |
58 p. |
author2 |
Wijerupage Sardha Wijesoma |
author_facet |
Wijerupage Sardha Wijesoma Lakshmisha Honnegowda |
format |
Theses and Dissertations |
author |
Lakshmisha Honnegowda |
author_sort |
Lakshmisha Honnegowda |
title |
Autonomous underwater vehicle navigation using vision |
title_short |
Autonomous underwater vehicle navigation using vision |
title_full |
Autonomous underwater vehicle navigation using vision |
title_fullStr |
Autonomous underwater vehicle navigation using vision |
title_full_unstemmed |
Autonomous underwater vehicle navigation using vision |
title_sort |
autonomous underwater vehicle navigation using vision |
publishDate |
2011 |
url |
http://hdl.handle.net/10356/46897 |
_version_ |
1772826364890578944 |