A review of UAV integration in forensic civil engineering: From sensor technologies to geotechnical, structural and water infrastructure applications
Unmanned aerial vehicles (UAVs) mounted with remote sensors have been widely used in
architectural, civil, and environmental engineering fields. In particular, UAVs are applied for …
architectural, civil, and environmental engineering fields. In particular, UAVs are applied for …
[HTML][HTML] A review of computer vision-based crack detection methods in civil infrastructure: Progress and challenges
Q Yuan, Y Shi, M Li - Remote Sensing, 2024 - mdpi.com
Cracks are a common defect in civil infrastructures, and their occurrence is often closely
related to structural loading conditions, material properties, design and construction, and …
related to structural loading conditions, material properties, design and construction, and …
Dual-path network combining CNN and transformer for pavement crack segmentation
Cracks are one of the most common pavement surface diseases. Timely repair of these
cracks is imperative to prevent a substantial reduction in the pavement's service life …
cracks is imperative to prevent a substantial reduction in the pavement's service life …
[HTML][HTML] Crack segmentation of imbalanced data: The role of loss functions
Loss functions, which govern a deep learning-based optimization process, have been
widely investigated to handle the class imbalanced data issue in crack segmentation …
widely investigated to handle the class imbalanced data issue in crack segmentation …
Discovery and classification of defects on facing brick specimens using a convolutional neural network
AN Beskopylny, EM Shcherban', SA Stel'makh… - Applied Sciences, 2023 - mdpi.com
In recent years, visual automatic non-destructive testing using machine vision algorithms
has been widely used in industry. This approach for detecting, classifying, and segmenting …
has been widely used in industry. This approach for detecting, classifying, and segmenting …
Sam-based instance segmentation models for the automation of structural damage detection
In infrastructure asset management, monitoring structural condition is vital for safety and cost-
efficiency. Traditional visual inspections are subjective, inconsistent, and time-consuming …
efficiency. Traditional visual inspections are subjective, inconsistent, and time-consuming …
Drone-assisted segmentation of tile peeling on building façades using a deep learning model
MT Cao - Journal of Building Engineering, 2023 - Elsevier
The need for precise segmentation of tile peeling on building façades is emphasized by its
implications for efficient building maintenance, particularly in regions like Taiwan, where …
implications for efficient building maintenance, particularly in regions like Taiwan, where …
Automated detection and segmentation of cracks in concrete surfaces using joined segmentation and classification deep neural network
Automated quality control of pavement and concrete surfaces is essential for maintaining
structural integrity and consistency in the construction and infrastructure industries. This …
structural integrity and consistency in the construction and infrastructure industries. This …
[HTML][HTML] Automatic multi-leaf nonperiodic block-by-block pattern generation and computational analysis of historical masonry structures
In this paper, an automatic block-by-block pattern generator is proposed for multi-leaf
nonperiodic masonries. The outcome is then directly employed in block-based …
nonperiodic masonries. The outcome is then directly employed in block-based …
Building surface crack detection using deep learning technology
Y Chen, Z Zhu, Z Lin, Y Zhou - Buildings, 2023 - mdpi.com
Cracks in building facades are inevitable due to the age of the building. Cracks found in the
building facade may be further exacerbated if not corrected immediately. Considering the …
building facade may be further exacerbated if not corrected immediately. Considering the …