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Road surface defect detection—from image-based to non-image-based: a survey
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 …
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 …
Aggregate gradation plays a crucial role in determining the asphalt pavement performance,
necessitating assessment post-construction. Additionally, efficient gradation measurement is …
necessitating assessment post-construction. Additionally, efficient gradation measurement is …
[HTML][HTML] Artificial intelligence-enhanced non-destructive defect detection for civil infrastructure
As civil engineering projects become more complex, ensuring the integrity of infrastructure is
essential. Traditional inspection methods may damage structures, highlighting the need for …
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
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 …
engineering. Traditional methods have struggled to strike a balance between analysis …
Skid-resistance behaviours of pavement artificial texture under various texture characteristics
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 …
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 …
achieved remarkable accuracy in identifying and segmenting concrete pipeline damages …
[HTML][HTML] Sequential backward feature selection for optimizing permanent strain model of unbound aggregates
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 …
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
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) …
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 …
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 …
maintain the efficient and safe operation of the transportation system. Visual perception …