长沙理工大学学报（自然科学版）2026，Vol.23Issue(1)：31-43,13.DOI:10.19951/j.cnki.1672-9331.20260111002
公路路基隐蔽性病害的探地雷达智能检测综述
A review of intelligent ground-penetrating radar detection for highway subgrade hidden defects
摘要
Abstract
As China's high-grade highway network progressively enters a peak maintenance period,the precise identification of hidden defects within the subgrade has become a core challenge for ensuring long-term pavement performance and traffic safety.Ground-penetrating radar(GPR),as an efficient non-destructive testing technology,enables non-destructive"imaging"of the internal subgrade structure,providing critical data for identifying typical defects such as cavities,voids,and water-rich areas.However,in complex real-world road environments,accurate interpretation of GPR data continues to face multiple difficulties.This paper systematically reviewed the research progress in intelligent GPR-based detection methods for highway subgrade hidden defects.It first analyzed the detection techniques for subgrade hidden defects and their current research status,elaborating on the basic principles of GPR and the application of various detection technologies.Subsequently,it summarized research methods for subgrade defect image processing and quantitative analysis.Finally,it focused on intelligent detection technologies based on deep learning,including the development and current application status of object detection and semantic segmentation in this field.This review aims to provide a theoretical reference and technical outlook for the intelligent identification and assessment of hidden defects in highway subgrade.关键词
公路路基/探地雷达/路基病害/智能识别/深度学习Key words
highway subgrade/ground-penetrating radar/subgrade defect/intelligent identification/deep learning分类
交通工程引用本文复制引用
金馨,郭凯丽,杨豪,张军辉..公路路基隐蔽性病害的探地雷达智能检测综述[J].长沙理工大学学报（自然科学版）,2026,23(1):31-43,13.基金项目
国家自然科学基金项目(52478443) （52478443）
长沙理工大学研究生科研创新项目(CLKYCX24110) （CLKYCX24110）
