Crack Detection on Concrete Surfaces Using Deep Encoder-Decoder Convolutional Neural Network: A Comparison Study Between U-Net and DeepLabV3

Maintenance of infrastructures is a crucial activity to ensure safety using crack detection methods on concrete structures. However, most practice of crack detection is carried out manually, which is unsafe, highly subjective, and time-consuming. Therefore, a more accurate and efficient system needs...

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Vydané v:	Journal of the Civil Engineering Forum Ročník 7; číslo 3; s. 323 - 334
Hlavní autori:	Hadinata, Patrick Nicholas, Simanta, Djoni, Eddy, Liyanto, Nagai, Kohei
Médium:	Journal Article
Jazyk:	English Japanese
Vydavateľské údaje:	Universitas Gadjah Mada 31.08.2021
Predmet:	Civil Engineering convolutional neural network Convolutional Neural Network; U-Net; DeepLabV3+; Crack Detection; Maintenance of Infrastructures crack detection deeplabv3 Engineering (General). Civil engineering (General) maintenance of infrastructures TA1-2040 u-net
ISSN:	2581-1037, 2549-5925
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