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DOI: 10.14569/IJACSA.2018.091176

Image Processing based Task Allocation for Autonomous Multi Rotor Unmanned Aerial Vehicles

Author 1: Akif Durdu
Author 2: Mehmet Celalettin Ergene
Author 3: Onur Demircan
Author 4: Hasan Uguz
Author 5: Mustafa Mahmutoglu
Author 6: Ender Kurnaz

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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 11, 2018.

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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.

Keywords: UAV; multi rotor; quad rotor; image processing; search and rescue; task allocation

Akif Durdu, Mehmet Celalettin Ergene, Onur Demircan, Hasan Uguz, Mustafa Mahmutoglu and Ender Kurnaz, “Image Processing based Task Allocation for Autonomous Multi Rotor Unmanned Aerial Vehicles” International Journal of Advanced Computer Science and Applications(IJACSA), 9(11), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091176

@article{Durdu2018,
title = {Image Processing based Task Allocation for Autonomous Multi Rotor Unmanned Aerial Vehicles},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091176},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091176},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {11},
author = {Akif Durdu and Mehmet Celalettin Ergene and Onur Demircan and Hasan Uguz and Mustafa Mahmutoglu and Ender Kurnaz}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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