Multi-scale feature fusion network for pixel-level pavement distress detection

Automatic pavement distress detection is essential to monitoring and maintaining pavement condition. Currently, many deep learning-based methods have been utilized in pavement distress detection. However, distress segmentation remains as a challenge under complex pavement conditions. In this paper,...

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Bibliographic Details

Published in:	Automation in construction Vol. 141; p. 104436
Main Authors:	Zhong, Jingtao, Zhu, Junqing, Huyan, Ju, Ma, Tao, Zhang, Weiguang
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.09.2022
Subjects:	Deep learning Encoder-decoder architecture Feature fusion Pavement distress Semantic segmentation Unmanned aerial vehicle (UAV) Deep learning Unmanned aerial vehicle (UAV) Pavement distress Feature fusion Encoder-decoder architecture Semantic segmentation
ISSN:	0926-5805, 1872-7891
Online Access:	Get full text
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