Crack recognition automation in concrete bridges using Deep Convolutional Neural Networks

Using Unmanned Aerial Systems (UASs) for bridge visual inspection automation necessitates the implementation of Deep Convolutional Neural Networks (DCNNs) to process efficiently the large amount of data collected by the UASs sensors. However, these networks require massive training datasets for the...

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Autores principales: Zoubir Hajar, Rguig Mustapha, Elaroussi Mohammed
Formato: article
Lenguaje:EN
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Publicado: EDP Sciences 2021
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Acceso en línea:https://doaj.org/article/b3f39a0efa384d68b2a628e82011f632
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