Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/494
Title: Image Processing based Task Allocation for Autonomous Multi Rotor Unmanned Aerial Vehicles
Authors: Durdu, Akif
Ergene, Mehmet Celalettin
Demircan, Onur
Uğuz, Hasan
Mahmutoglu, Mustafa
Kurnaz, Ender
Keywords: UAV
multi rotor
quad rotor
image processing
search and rescue
task allocation
Issue Date: 2018
Publisher: SCIENCE & INFORMATION SAI ORGANIZATION LTD
Abstract: Nowadays studies based on unmanned aerial vehicles draws attention. Especially image processing based tasks are quite important. In this study, several tasks were performed based on the autonomous flight, image processing and load drop capabilities of the Unmanned Aerial Vehicle (UAV). Two main tasks were tested with an autonomous UAV, and the performance of the whole system was measured according to the duration and the methods of the image processing. In the first mission, the UAV flew over a 4x4 sized color matrix. 16 tiles of the matrix had three main colors, and the pattern was changed three times. The UAV was sent to the matrix, recognized 48 colors of the matrix and returned to the launch position autonomously. The second mission was to test load drop and image processing abilities of the UAV. In this mission, the UAV flew over the matrix, read the pattern and went to the parachute drop area. After that, the load was dropped according to the recognized pattern by the UAV and then came back to the launch position.
URI: https://hdl.handle.net/20.500.13091/494
ISSN: 2158-107X
2156-5570
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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