Advances in Aircraft Skin Defect Detection Using Computer Vision: A Survey and Comparison of YOLOv9 and RT-DETR Performance

Aircraft skin surface defect detection is critical for aviation safety but is currently mostly reliant on manual or visual inspections. Recent advancements in computer vision offer opportunities for automation. This paper reviews the current state of computer vision algorithms and their application...

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主要な著者:	Nutchanon Suvittawat, Christian Kurniawan, Jetanat Datephanyawat, Jordan Tay, Zhihao Liu, De Wen Soh, Nuno Antunes Ribeiro
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-04-01
シリーズ:	Aerospace
主題:	aircraft defect detection computer vision maintenance repair and overhaul (MRO) YOLO RT-DETR
オンライン･アクセス:	https://www.mdpi.com/2226-4310/12/4/356
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