Detection Method of Loose Defects in Semi-rigid Base Based on Improved YOLOv8 Algorithm
[1]ZHANG Bei,XU Shuo,ZHONG Yanhui,et al.Detection Method of Loose Defects in Semi-rigid Base Based on Improved YOLOv8 Algorithm[J].Journal of Zhengzhou University (Engineering Science),2025,46(05):122-129.[doi:10.13705/j.issn.1671-6833.2025.05.006]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
46
Number of periods:
2025 05
Page number:
122-129
Column:
Public date:
2025-08-10
- Title:
- Detection Method of Loose Defects in Semi-rigid Base Based on Improved YOLOv8 Algorithm
- CLC:
- TP391.41U416.217
- Abstract:
- To address the issues of low detection accuracy and speed of ground-penetrating radar for loose defects under complex environmental conditions, a loose defect recognition method based on an improved YOLOv8 algorithm (YOLOv8-DN) was proposed. A DN module was designed and replaced C2f module, integrating a dynamic deformable convolution module and a multi-scale feature fusion module. The receptive fields of the dynamic deformable convolution kernels were adapted to accommodate the morphological complexity of defect features, while the multi-scale feature fusion path was employed to enhance the model′s ability to capture small and blurred defect regions. By replacing the original C2f module with the DN module, the recognition capability for complex defects was significantly improved, and computational overhead was effectively reduced. It was shown by experimental results that compared with the original YOLOv8 algorithm, the improved algorithm achieved a 5.29 percentage point increase in mAP, a 5.2 percentage point reduction in missed detection rate, and a 4.9 frame/ms improvement in inference speed. In addition, the integrity and accuracy of the detected mask regions were significantly enhanced, which validated the effectiveness and feasibility of the proposed algorithm and provided a novel solution for the rapid and precise detection of loose defects in the semi-rigid base layers of asphalt pavements.
- References:
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Last Update:
2025-09-19