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https://hdl.handle.net/20.500.13091/299
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Büyükkelek, Ahmet Furkan | - |
dc.contributor.author | Erturan, Ahmet Murat | - |
dc.contributor.author | Dağadası, Mert | - |
dc.contributor.author | Çelik, Şevval | - |
dc.contributor.author | Aslanbaş, Metehan | - |
dc.contributor.author | Durdu, Akif | - |
dc.date.accessioned | 2021-12-13T10:23:59Z | - |
dc.date.available | 2021-12-13T10:23:59Z | - |
dc.date.issued | 2020 | - |
dc.identifier.isbn | 9781728172064 | - |
dc.identifier.uri | https://doi.org/10.1109/SIU49456.2020.9302449 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/299 | - |
dc.description | 28th Signal Processing and Communications Applications Conference, SIU 2020 -- 5 October 2020 through 7 October 2020 -- -- 166413 | en_US |
dc.description.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. | en_US |
dc.language.iso | tr | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Autonomous asks | en_US |
dc.subject | Image Processing. | en_US |
dc.subject | quadrotor | en_US |
dc.subject | Unmanned aerial vehicle (UAV) | en_US |
dc.title | Image Processing Based Transportation in Unmanned Aerial Vehicles | en_US |
dc.title.alternative | Nsansz Hava Araclarnda Goruntu leme Destekli Tamaclk | en_US |
dc.type | Conference Object | en_US |
dc.identifier.doi | 10.1109/SIU49456.2020.9302449 | - |
dc.identifier.scopus | 2-s2.0-85100289612 | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.identifier.wos | WOS:000653136100422 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 57221817590 | - |
dc.authorscopusid | 57221818028 | - |
dc.authorscopusid | 57221820030 | - |
dc.authorscopusid | 57221816338 | - |
dc.authorscopusid | 57221814185 | - |
dc.authorscopusid | 55364612200 | - |
item.languageiso639-1 | tr | - |
item.fulltext | With Fulltext | - |
item.cerifentitytype | Publications | - |
item.openairetype | Conference Object | - |
item.grantfulltext | embargo_20300101 | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 02.04. Department of Electrical and Electronics Engineering | - |
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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File | Size | Format | |
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Image_Processing_Based_Transportation_In_Unmanned_Aerial_Vehicles.pdf Until 2030-01-01 | 562.7 kB | Adobe PDF | View/Open Request a copy |
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