{ "article_id": 1006, "public_id": "87a402f0-1c8b-4f8f-9cfe-fe950fa12e53", "internal_identifier": null, "source_identifier": "42:11", "status": "published", "type": "research_article", "title": "DRONLAR İÇİN OTOMATİK ROTA TAYİNİ VE TAKİBİ", "title_secondary": null, "abstract": "Günümüze kadar dronlar insan yönetimine ihtiyaç duyan uzaktan kumandalı cihazlar olarak gündeme gelmişlerdir. Dronlar, yaygın olarak insan desteğiyle çalışmakta olup ek iş gücüne, maliyet artışına sebep olmasıdır. Hatalı kullanım sonucu dronlar hasar görebilmektedir. Bu bildiride dronların otomatik rota tayini ve takibi önerilmektedir. Bu amaçla dronların takibi GPS tabanlı olarak yapılmakta ve belirlenen rotayı takip etmesi sağlanmaktadır. Bu şekilde kullanıcı devre dışı bırakılarak dronların belirlenen görevi yerine getirmesi ve insan kaynaklı kullanım hatalarının ortadan kaldırılması sağlanmaktadır. Uygulamada güvenlik amaçlı olarak öncelikle dronekit kütüphanesi kullanılarak simülatör ortamında dronun çalışması modellenmiş ve performansı değerlendirilmiştir. Daha sonra modellenen dronun başarım testi Gazi Üniversitesi Merkez kampüsünde atanan rota üzerinden gerçekleştirilmiştir. Dronun kendisine verilen rotayı sorunsuz bir şekilde takip ettiği gözlemlenmiştir.", "language": "tr", "english_title": "AUTOMATIC ROUTE DETERMINATION AND TRACKING FOR DRONES", "english_abstract": "Until now, drones have been seen as remotely controlled devices requiring human intervention. Drones commonly operate with human support, leading to additional labor and increased costs. Incorrect use can also damage drones. This paper proposes automatic route determination and tracking for drones. For this purpose, drone tracking is performed using GPS, ensuring the drone follows a predetermined route. This eliminates human intervention, allowing the drone to perform its assigned task and eliminating human-induced operational errors. For safety purposes, the drone's operation was first modeled in a simulator environment using the DroneKit library, and its performance was evaluated. Subsequently, a performance test of the modeled drone was conducted on the assigned route at Gazi University's central campus. It was observed that the drone followed the given route without any problems.", "doi": null, "doi_url": null, "resource_url": "https://www.set-science.com/a/87a402f0-1c8b-4f8f-9cfe-fe950fa12e53", "pdf_url": "https://www.set-science.com/a/87a402f0-1c8b-4f8f-9cfe-fe950fa12e53/pdf", "og_image": "https://www.set-science.com/assets/img/og-card-v2.png", "authors": [ { "public_id": "56e787fd-3921-4a94-bfb9-b6b143130aa6", "given": "Şehmus", "family": "Gökçe", "full": "Şehmus Gökçe", "literal": null, "orcid": null, "orcid_url": null, "email": "acetin@gazi.edu.tr", "corresponding": true, "sequence": "first", "affiliations": [ { "name": "Gazi Üniversitesi  ", "department": null, "country": null, "country_code": null, "ror": null, "ror_url": null } ] }, { "public_id": "8e5dcb1b-bf49-45f6-b08d-3ad89ded0750", "given": "Aydın", "family": "Çetin", "full": "Aydın Çetin", "literal": null, "orcid": null, "orcid_url": null, "email": "sehmus.gokce@gazi.edu.tr", "corresponding": false, "sequence": "additional", "affiliations": [ { "name": "Gazi Üniversitesi  ", "department": null, "country": null, "country_code": null, "ror": null, "ror_url": null } ] } ], "keywords": [], "translations": [ { "language": "en", "title": "AUTOMATIC ROUTE DETERMINATION AND TRACKING FOR DRONES", "abstract": "Until now, drones have been seen as remotely controlled devices requiring human intervention. Drones commonly operate with human support, leading to additional labor and increased costs. Incorrect use can also damage drones. This paper proposes automatic route determination and tracking for drones. For this purpose, drone tracking is performed using GPS, ensuring the drone follows a predetermined route. This eliminates human intervention, allowing the drone to perform its assigned task and eliminating human-induced operational errors. For safety purposes, the drone's operation was first modeled in a simulator environment using the DroneKit library, and its performance was evaluated. Subsequently, a performance test of the modeled drone was conducted on the assigned route at Gazi University's central campus. It was observed that the drone followed the given route without any problems.", "keywords": [ "Drone, rota takibi, otonom" ] } ], "subjects": [], "subject_names": [], "published_date": "2019-06-01", "published_year": "2019", "received_date": null, "accepted_date": null, "volume": "4", "issue": null, "page_first": "41", "page_last": "43", "article_number": null, "conference": { "short_name": "ISAS2019-ENS", "full_title": "3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences)", "name": "3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences)", "acronym": "ISAS2019-ENS", "location": "Ankara, Türkiye", "start_date": "2019-04-19", "end_date": null, "public_id": "ed3b36e9-38cf-4aeb-a135-833c969cc89f" }, "proceedings": { "title": "3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences)", "series_title": "Setsci conference indexing system", "publisher": "SET Technology", "isbn": null, "eisbn": null, "issn": "2618-6446", "eissn": null, "doi": null, "doi_prefix": null, "slug": "setsci-volume-4-2019-legacy-42", "public_id": "24d215ef-a545-4351-9725-6e9bdb167b3c", "url": "https://www.set-science.com/p/setsci-volume-4-2019-legacy-42" }, "license": { "name": "CC BY 4.0", "url": "https://creativecommons.org/licenses/by/4.0/", "code": "CC-BY-4.0", "open_access": true }, "copyright": { "holder": "SET Technology", "year": "2019" }, "funding_statement": null, "funders": [], "references": [ { "order": 1, "raw": "Li, F., Zlatanova, S., Koopman, M., Bai, X., & Diakité, A. (2018). Universal path planning for an indoor drone. Automation in Construction, 95, 275-283.", "doi": null, "title": null, "authors": null, "source": null, "year": null, "volume": null, "pages": null }, { "order": 2, "raw": "Yanmaz, E., Rinner B. (2018). Universal path planning for an indoor drone. Automation in Construction, 95, 275-283, 95, 275-283", "doi": null, "title": null, "authors": null, "source": null, "year": null, "volume": null, "pages": null }, { "order": 3, "raw": "Koubâa, A., Qureshi, B., Sriti, M., Allouch, A., Javed, Y., Alajlan, M., . . . Tovar, E. (2018). Dronemap Planner: A Service-Oriented Cloud-Based Management System for the Internet-of-Drones. Ad Hoc Networks.", "doi": null, "title": null, "authors": null, "source": null, "year": null, "volume": null, "pages": null }, { "order": 4, "raw": "Carlson, D. F., & Rysgaard, S. (2018). Adapting open-source drone autopilots for real-time iceberg observations. MethodsX,5, 1059-1072.", "doi": null, "title": null, "authors": null, "source": null, "year": null, "volume": null, "pages": null } ], "statements": { "acknowledgements": null, "conflict_of_interest": null, "data_availability": null, "ai_disclosure": null }, "credit": [], "history": { "published": "2019-06-01" } }