Automatic Pixel-Level Pavement Crack Recognition Using a Deep Feature Aggregation Segmentation Network with a scSE Attention Mechanism Module

Automatic Pixel-Level Pavement Crack Recognition Using a Deep Feature Aggregation Segmentation Network with a scSE Attention Mechanism Module

Pavement crack detection is essential for safe driving. The traditional manual crack detection method is highly subjective and time-consuming. Hence, an automatic pavement crack detection system is needed to facilitate this progress. However, this is still a challenging task due to the complex topol...

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Bibliographic Details
Main Authors: Wenting Qiao, Qiangwei Liu, Xiaoguang Wu, Biao Ma, Gang Li
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
pavement crack detection
CrackDFANet
lightweight backbone network
scSE attention mechanism module
sub-network aggregation
sub-stage aggregation
Online Access:https://www.mdpi.com/1424-8220/21/9/2902

Internet

https://www.mdpi.com/1424-8220/21/9/2902

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