Road surface defect detection—from image-based to non-image-based: a survey

J Yu, J Jiang, S Fichera, P Paoletti… - IEEE transactions on …, 2024 - ieeexplore.ieee.org
Ensuring traffic safety is crucial, which necessitates the detection and prevention of road
surface defects. As a result, there has been a growing interest in the literature on the subject …

Image-driven prediction system: Automatic extraction of aggregate gradation of pavement core samples integrating deep learning and interactive image processing …

HC Dan, Z Huang, B Lu, M Li - Construction and Building Materials, 2024 - Elsevier
Aggregate gradation plays a crucial role in determining the asphalt pavement performance,
necessitating assessment post-construction. Additionally, efficient gradation measurement is …

[HTML][HTML] Artificial intelligence-enhanced non-destructive defect detection for civil infrastructure

Y Zhang, CL Chow, D Lau - Automation in Construction, 2025 - Elsevier
As civil engineering projects become more complex, ensuring the integrity of infrastructure is
essential. Traditional inspection methods may damage structures, highlighting the need for …

[HTML][HTML] Vision-based size distribution analysis of rock fragments using multi-modal deep learning and interactive annotation

Y Tang, Y Wang, G Si - Automation in Construction, 2024 - Elsevier
Real-time size distribution analysis is of great significance to rock fragments in practical
engineering. Traditional methods have struggled to strike a balance between analysis …

Skid-resistance behaviours of pavement artificial texture under various texture characteristics

S Chen, C Chen, H Luo, X Wu, X Liu, Y Zheng… - … and Building Materials, 2024 - Elsevier
It is difficult for conventional methods to specify the texture characteristic with high friction.
Three-dimensional printing (3DP) technology offers a viable solution to this problem. In this …

Corrosion segmentation method of concrete drainage pipes based on point transformer

N Wang, L Qiao, H Fang, G Pang, X Du, K Zhai, D Di… - Measurement, 2024 - Elsevier
Abstract Deep learning based Closed Circuit Television (CCTV) image detection has
achieved remarkable accuracy in identifying and segmenting concrete pipeline damages …

[HTML][HTML] Sequential backward feature selection for optimizing permanent strain model of unbound aggregates

SO Aregbesola, J Won, S Kim, YH Byun - Case Studies in Construction …, 2023 - Elsevier
This study proposes a novel framework for identifying the optimal feature set required to
predict the permanent strain of unbound aggregates. An experimental database consisting …

A coarse aggregate particle size classification method by fusing 3D multi‐view and graph convolutional networks

A Tian, W Li, M Yang, J Ding, L Pei… - Computer‐Aided Civil …, 2024 - Wiley Online Library
To address the inaccurate classification of coarse aggregate particle size due to insufficient
height information in single‐view, a multi‐view and graph convolutional network (GCN) …

Gravel Particle Shape Classification from Half-Particle Point Clouds using a Dynamic Graph Edge Convolution Neural Network

J **, L Gao, J Zheng, D Wang, G Wang, Z Guan… - Computers and …, 2025 - Elsevier
Obtaining the three-dimensional (3D) shape of gravel particles is essential for calculating
their roundness and sphericity. However, cost-effective, and rapid non-penetrating 3D …

[PDF][PDF] A REVIEW OF PAVEMENT DEFECT DETECTION BASED ON VISUAL PERCEPTION

C Yang, L Yang, H Duan, J Deng - International Journal of …, 2024 - ijomam.com
The inspection of roads for defects, as basic transportation infrastructure, is critical to
maintain the efficient and safe operation of the transportation system. Visual perception …