Deep learning-based crack segmentation for civil infrastructure: Data types, architectures, and benchmarked performance
This paper reviews recent developments in deep learning-based crack segmentation
methods and investigates their performance under the impact from different image types …
methods and investigates their performance under the impact from different image types …
[HTML][HTML] Deep learning-based structural health monitoring
This article provides a comprehensive review of deep learning-based structural health
monitoring (DL-based SHM). It encompasses a broad spectrum of DL theories and …
monitoring (DL-based SHM). It encompasses a broad spectrum of DL theories and …
Concrete dam damage detection and localisation based on YOLOv5s-HSC and photogrammetric 3D reconstruction
S Zhao, F Kang, J Li - Automation in Construction, 2022 - Elsevier
This paper presents a system for detecting damages in concrete dams that combines the
proposed YOLOv5s-HSC algorithm and a three-dimensional (3D) photogrammetric …
proposed YOLOv5s-HSC algorithm and a three-dimensional (3D) photogrammetric …
[HTML][HTML] Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete
The use of fly ash in cementitious composites has gained popularity. However, assessing
the depth of wear (DW) of concrete requires expensive and destructive laboratory tests …
the depth of wear (DW) of concrete requires expensive and destructive laboratory tests …
Automatic segmentation of tunnel lining defects based on multiscale attention and context information enhancement
Z Zhou, L Yan, J Zhang, Y Zheng, C Gong… - … and Building Materials, 2023 - Elsevier
To address the dual challenges of complex environmental interference and multiscale
targets in deep learning-based tunnel lining defect identification, a novel segmentation …
targets in deep learning-based tunnel lining defect identification, a novel segmentation …
[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 …
[HTML][HTML] Intelligent predicting and monitoring of ultra-high-performance fiber reinforced concrete composites− A review
Ultra-high-performance fiber reinforced concrete (UHPFRC) is an advanced composite
known for its exceptional mechanical properties and durability, playing a vital role in modern …
known for its exceptional mechanical properties and durability, playing a vital role in modern …
Region of interest (ROI) extraction and crack detection for UAV-based bridge inspection using point cloud segmentation and 3D-to-2D projection
JL ** of width nephograms in concrete dams using UAV photogrammetry
S Zhao, F Kang, J Li - Automation in Construction, 2024 - Elsevier
This study presents an innovative method for precise measurement and map** of width
nephograms for blurred cracks on concrete dams. An intelligent segmentation network …
nephograms for blurred cracks on concrete dams. An intelligent segmentation network …
MobileNetV3-BLS: A broad learning approach for automatic concrete surface crack detection
Concrete surface crack detection is an important means to ensure infrastructure security,
including bridges and tunnels. In recent years, computer vision has been widely adopted for …
including bridges and tunnels. In recent years, computer vision has been widely adopted for …