Automatic Detection and Predictive Geolocation of Foreign Object Debris on Airport Runway
The detection and removal of Foreign Object Debris (FOD) on airport runway present significant challenges due to the small objects and the range of complex weather conditions that impact visibility and equipment efficiency. To address the problem, an FOD detection model using Swin Transformer (ST) e...
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| Автори: | , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2024-01-01
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| Серія: | IEEE Access |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/10680536/ |
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