An Aerial-Ground Collaborative Framework for Asphalt Pavement Quality Inspection

To overcome the limitations of conventional methods, this study developed a novel aerial-ground collaborative framework for multi-dimensional quality assessment of asphalt pavement. The quality inspection of asphalt pavement in the whole construction process is realized. Multiple non-destructive testing (NDT) techniques were integrated, including drone-based infrared thermography, ground-penetrating radar (GPR), and a nuclear-free density gauge. Results showed a strong correlation (R2 > 0.95) between the radar-derived dielectric constant and core samples, enabling rapid, full-coverage characterization. The density gauge achieved less than 3% error. Furthermore, a compactness prediction model based on the dielectric constant and an air void content evaluation model based on temperature parameters are further constructed. This system enables aerial screening, point verification, and ground diagnosis, significantly enhancing inspection efficiency and comprehensiveness.

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Publication Details

Journal
Infrastructures
Published
2025-11-26
DOI
https://doi.org/10.3390/infrastructures10120324
Primary Topic
Geophysical Methods and Applications
Type
article
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article

An Aerial-Ground Collaborative Framework for Asphalt Pavement Quality Inspection

Wenyang Han, Peng Li, Chunhua Su, Lei Niu et al.
Infrastructures
Geophysical Methods and Applications
article

An Aerial-Ground Collaborative Framework for Asphalt Pavement Quality Inspection

Wenyang Han, Peng Li, Chunhua Su, Lei Niu, Guangyong Wang, Song Wei, Tao Lei, Kai Chen, Ting Cui, Ding Zhang, Zhi Fu
article en

Abstract

To overcome the limitations of conventional methods, this study developed a novel aerial-ground collaborative framework for multi-dimensional quality assessment of asphalt pavement. The quality inspection of asphalt pavement in the whole construction process is realized. Multiple non-destructive testing (NDT) techniques were integrated, including drone-based infrared thermography, ground-penetrating radar (GPR), and a nuclear-free density gauge. Results showed a strong correlation (R2 > 0.95) between the radar-derived dielectric constant and core samples, enabling rapid, full-coverage characterization. The density gauge achieved less than 3% error. Furthermore, a compactness prediction model based on the dielectric constant and an air void content evaluation model based on temperature parameters are further constructed. This system enables aerial screening, point verification, and ground diagnosis, significantly enhancing inspection efficiency and comprehensiveness.

InfrastructuresVol. 10(12)
Shandong Transportation Research Institute (CN), Shandong Iron and Steel Group (China) (CN), Qilu Hospital of Shandong University (CN)
Openalex Percentile: Top 55%
Geophysical Methods and Applications
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An Aerial-Ground Collaborative Framework for Asphalt Pavement Quality Inspection — Wenyang Han, Peng Li, et al. · Infrastructures (2025) | TGRS Research Map | TGRS