Pavement Defect Segmentation in Orthoframes with a Pipeline of Three Convolutional Neural Networks

Pavement Defect Segmentation in Orthoframes with a Pipeline of Three Convolutional Neural Networks

In the manuscript, the issue of detecting and segmenting out pavement defects on highway roads is addressed. Specifically, computer vision (CV) methods are developed and applied to the problem based on deep learning of convolutional neural networks (ConvNets). A novel neural network structure is con...

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Bibliographic Details
Main Authors: Roland Lõuk, Andri Riid, René Pihlak, Aleksei Tepljakov
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Algorithms
Subjects:
pavement distress
digital image
Deep Learning
transfer learning
Convolutional Neural Network
active learning
Online Access:https://www.mdpi.com/1999-4893/13/8/198

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https://www.mdpi.com/1999-4893/13/8/198

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