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Tracking of Unmanned Aerial Vehicles Using Computer Vision Methods: A Comparative Analysis


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eISSN:
2657-7291
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
Volume Open
Fachgebiete der Zeitschrift:
Technik, Elektrotechnik, Grundlagen der Elektrotechnik, Maschinenbau, Grundlagen des Maschinenbaus, Geowissenschaften, Geodäsie