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Title: Image Processing Based Transportation in Unmanned Aerial Vehicles
Other Titles: Nsansz Hava Araclarnda Goruntu leme Destekli Tamaclk
Authors: Büyükkelek, Ahmet Furkan
Erturan, Ahmet Murat
Dağadası, Mert
Çelik, Şevval
Aslanbaş, Metehan
Durdu, Akif
Keywords: Autonomous asks
Image Processing.
Unmanned aerial vehicle (UAV)
Issue Date: 2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: The use of Unmanned Aerial Vehicles (UAV) has become popular in many fields, especially in the defense industry. Especially in autonomous flights, UAVs that are exposed to variable environmental disruptive effects are shown as a difficult problem to successfully complete their duties. In this study, a high-mobility and low-cost rotary wing UAV with autonomous flight is designed. The UAV, which performs autonomous flight, is intended to recognize and receive 2 different loads of different weight in the cargo receiving area by using image processing methods. In addition, it is aimed to transfer the two loads received by the weight sensor to the weight drop area at a predetermined GPS point by classifying them according to their weight. In the experimental results, it was determined that the UAV successfully recognized the loads, picked them up from the ground and left them by classifying them into the load shedding area. It achieved an average of 90% and 82.5% success in load recognition and classification, respectively. © 2020 IEEE.
Description: 28th Signal Processing and Communications Applications Conference, SIU 2020 -- 5 October 2020 through 7 October 2020 -- -- 166413
ISBN: 9781728172064
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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