Indoor UAV positioning using stereo vision sensor

The UAV system has becoming increasingly popular in the application such as surveillance, reconnaissance, mapping and many more. Different from guided vehicles, which rely on the pilot to navigate the system, UAV relies on autonomous control to provide this functionality. Hence, precise feedback on...

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Main Authors: Mohd Mustafah, Yasir, Azman, Amelia Wong, Akbar, Fajril
Format: Article
Language:English
Published: Elsevier 2012
Subjects:
Online Access:http://irep.iium.edu.my/28269/
http://irep.iium.edu.my/28269/
http://irep.iium.edu.my/28269/
http://irep.iium.edu.my/28269/1/Indoor_UAV_Positioning_Using_Stereo_Vision_Sensor.pdf
id iium-28269
recordtype eprints
spelling iium-282692013-02-19T03:29:48Z http://irep.iium.edu.my/28269/ Indoor UAV positioning using stereo vision sensor Mohd Mustafah, Yasir Azman, Amelia Wong Akbar, Fajril T Technology (General) The UAV system has becoming increasingly popular in the application such as surveillance, reconnaissance, mapping and many more. Different from guided vehicles, which rely on the pilot to navigate the system, UAV relies on autonomous control to provide this functionality. Hence, precise feedback on the position of the UAV is very important. Unlike outdoor positioning, there are no standard, low cost indoor positioning systems available. Hence, we proposed to utilize a stereo vision sensor as an indoor positioning system for our UAVs. The system utilizes two video cameras for stereo vision capture and set of fast algorithms so that position information can be obtained in real-time. Experiment conducted shows that the system could provide a reliable accuracy in real-time. Elsevier 2012 Article PeerReviewed application/pdf en http://irep.iium.edu.my/28269/1/Indoor_UAV_Positioning_Using_Stereo_Vision_Sensor.pdf Mohd Mustafah, Yasir and Azman, Amelia Wong and Akbar, Fajril (2012) Indoor UAV positioning using stereo vision sensor. Procedia Engineering, 41. 575 - 579. ISSN 1877-7058 http://www.sciencedirect.com/science/article/pii/S1877705812026148 10.1016/j.proeng.2012.07.214
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle T Technology (General)
Mohd Mustafah, Yasir
Azman, Amelia Wong
Akbar, Fajril
Indoor UAV positioning using stereo vision sensor
description The UAV system has becoming increasingly popular in the application such as surveillance, reconnaissance, mapping and many more. Different from guided vehicles, which rely on the pilot to navigate the system, UAV relies on autonomous control to provide this functionality. Hence, precise feedback on the position of the UAV is very important. Unlike outdoor positioning, there are no standard, low cost indoor positioning systems available. Hence, we proposed to utilize a stereo vision sensor as an indoor positioning system for our UAVs. The system utilizes two video cameras for stereo vision capture and set of fast algorithms so that position information can be obtained in real-time. Experiment conducted shows that the system could provide a reliable accuracy in real-time.
format Article
author Mohd Mustafah, Yasir
Azman, Amelia Wong
Akbar, Fajril
author_facet Mohd Mustafah, Yasir
Azman, Amelia Wong
Akbar, Fajril
author_sort Mohd Mustafah, Yasir
title Indoor UAV positioning using stereo vision sensor
title_short Indoor UAV positioning using stereo vision sensor
title_full Indoor UAV positioning using stereo vision sensor
title_fullStr Indoor UAV positioning using stereo vision sensor
title_full_unstemmed Indoor UAV positioning using stereo vision sensor
title_sort indoor uav positioning using stereo vision sensor
publisher Elsevier
publishDate 2012
url http://irep.iium.edu.my/28269/
http://irep.iium.edu.my/28269/
http://irep.iium.edu.my/28269/
http://irep.iium.edu.my/28269/1/Indoor_UAV_Positioning_Using_Stereo_Vision_Sensor.pdf
first_indexed 2023-09-18T20:41:46Z
last_indexed 2023-09-18T20:41:46Z
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