Pavement Crack Detection Based on Improved YOLOX
WANG Ze
AN Weisheng
JU Yongkang
Abstract：A crack detection network based on improved YOLOX(Crack-YOLOX)is proposed to address the problems of poor accuracy and low efficiency of existing crack detection networks for highway pavements.The network's ability to sense pave-ment cracks is enhanced by introducing a simple parameter-free attention mechanism,a weighted bidirectional feature pyramid net-work is used to enhance the network's ability to represent small-size pavement crack features,and the HardSwish activation func-tion is used to speed up the network computation.Eiou and varifocalloss loss functions are introduced to improve the network regres-sion accuracy.Tests are conducted on a publicly available dataset,and the test results show that the network outperforms the com-parison network in terms of mean average accuracy and frame rate per second transmission.
Keywords：asphalt pavementcrack detectionobject detection
Publication Date：2025-12-20
Online Publishing Date：2026-03-09(First online date of this platform, not the publication date of the document)
Pages：6( 3565-3569,3594 )