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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Vydáno v:	Automation in construction Ročník 141; s. 104436
Hlavní autoři:	Zhong, Jingtao, Zhu, Junqing, Huyan, Ju, Ma, Tao, Zhang, Weiguang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.09.2022
Témata:	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
On-line přístup:	Získat plný text
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