Inspecting Buildings Using Drones and Computer Vision: A Machine Learning Approach to Detect Cracks and Damages

Manual inspection of infrastructure damages such as building cracks is difficult due to the objectivity and reliability of assessment and high demands of time and costs. This can be automated using unmanned aerial vehicles (UAVs) for aerial imagery of damages. Numerous computer vision-based approach...

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Principais autores:	Hafiz Suliman Munawar, Fahim Ullah, Amirhossein Heravi, Muhammad Jamaluddin Thaheem, Ahsen Maqsoom
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2021-12-01
Series:	Drones
Assuntos:	building damages convolutional neural networks (CNNs) computer vision cracks generative adversarial network (CycleGAN) infrastructure inspection
Acceso en liña:	https://www.mdpi.com/2504-446X/6/1/5
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