Automatic Crack Detection on Road Pavements Using Encoder-Decoder Architecture

Automatic crack detection from images is an important task that is adopted to ensure road safety and durability for Portland cement concrete (PCC) and asphalt concrete (AC) pavement. Pavement failure depends on a number of causes including water intrusion, stress from heavy loads, and all the climat...

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Veröffentlicht in:	Materials Jg. 13; H. 13; S. 2960
Hauptverfasser:	Fan, Zhun, Li, Chong, Chen, Ying, Wei, Jiahong, Loprencipe, Giuseppe, Chen, Xiaopeng, Di Mascio, Paola
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 02.07.2020 MDPI
Schlagworte:	Aircraft Algorithms Artificial intelligence Asphalt pavements Bituminous cements Classification Coders Computer vision Connectivity Context Convolution Cracks Dilation Encoders-Decoders Feature extraction Feature maps Graph representations Image detection Lasers Machine learning Methods Modules Morphology Neural networks Object recognition Pavements Portland cements Researchers Road maintenance Roads & highways Robots Traffic safety Vision systems Wavelet transforms
ISSN:	1996-1944, 1996-1944
Online-Zugang:	Volltext
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