PLD : Power Line Detection System for Aircrafts
| Autor: | Ömer Emre Yetgin, Ömer Nezih Gerek |
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| Přispěvatelé: | Anadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü, Gerek, Ömer Nezih |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: | |
| Popis: | 2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEY WOS: 000426868700130 Power Line Detection (PLD) is still an important issue for aircraft safety. In this study, two simple PLD algorithms are developed that utilize two alternative line detection algorithms (EDLines and LSD) and feed their outputs to a simple K-Means classifier. The two versions are compared in terms of accuracy and speed. It was observed that, the newly developed EDLines method provides significantly superior results, thanks to its highly accurate edge detection. It is concluded that a method incorporating EDLines is expected to attract interest in PLD applications. IEEE Turkey Sect, Anatolian Sci Anadolu University Scientific Research Project Commission [1508F598] This work is supported by Anadolu University Scientific Research Project Commission under the grant No. 1508F598. The authors would like to thank Turkish Electricity Transmission Company for providing power line videos. The authors also thank Assistant Professor Cihan TOPAL for his valuable support in technical issues. |
| Databáze: | OpenAIRE |
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