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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Vydáno v:	Materials Ročník 13; číslo 13; s. 2960
Hlavní autoři:	Fan, Zhun, Li, Chong, Chen, Ying, Wei, Jiahong, Loprencipe, Giuseppe, Chen, Xiaopeng, Di Mascio, Paola
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 02.07.2020 MDPI
Témata:	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
On-line přístup:	Získat plný text
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