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 |
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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Paper_76-Image_Processing_based_Task_Allocation.pdf Until 2030-01-01 | 652.12 kB | Adobe PDF | View/Open Request a copy |
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