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Automated Detection of Atypical Aviation Obstacles from UAV Images Using a YOLO Algorithm
Unmanned Aerial Vehicles (UAVs) are able to guarantee very high spatial and temporal resolution and up-to-date information in order to ensure safety in the direct vicinity of the airport. The current dynamic growth of investment areas in large agglomerations, especially in the neighbourhood of airpo...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460069/ https://www.ncbi.nlm.nih.gov/pubmed/36081077 http://dx.doi.org/10.3390/s22176611 |