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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Veröffentlicht in:	Journal of the Civil Engineering Forum Jg. 7; H. 3; S. 323 - 334
Hauptverfasser:	Hadinata, Patrick Nicholas, Simanta, Djoni, Eddy, Liyanto, Nagai, Kohei
Format:	Journal Article
Sprache:	Englisch Japanisch
Veröffentlicht:	Universitas Gadjah Mada 31.08.2021
Schlagworte:	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
Online-Zugang:	Volltext
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