Deep learning for visual recognition and detection of aquatic animals: A review

J Li, W Xu, L Deng, Y Xiao, Z Han… - Reviews in …, 2023 - Wiley Online Library
The ocean is an important ecosystem, and aquatic animals play an important role in the
biological world, especially in aquaculture. How to accurately and intelligently recognise …

Surface defect detection of civil structures using images: Review from data perspective

J Guo, P Liu, B Xiao, L Deng, Q Wang - Automation in Construction, 2024 - Elsevier
As civil structures age and deteriorate, it becomes crucial to conduct structural health
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …

Crack detection and comparison study based on faster R-CNN and mask R-CNN

X Xu, M Zhao, P Shi, R Ren, X He, X Wei, H Yang - Sensors, 2022 - mdpi.com
The intelligent crack detection method is an important guarantee for the realization of
intelligent operation and maintenance, and it is of great significance to traffic safety. In recent …

A low-cost 3D reconstruction and measurement system based on structure-from-motion (SFM) and multi-view stereo (MVS) for sewer pipelines

D Ma, H Fang, N Wang, G Pang, B Li, J Dong… - … and Underground Space …, 2023 - Elsevier
Traditional image-based detection methods for pipelines lack quantification information (eg,
depth, area, and perimeter of defects) despite the high accuracy. Furthermore, existing three …

Crack detection in images of masonry using CNNs

MJ Hallee, RK Napolitano, WF Reinhart, B Glisic - Sensors, 2021 - mdpi.com
While there is a significant body of research on crack detection by computer vision methods
in concrete and asphalt, less attention has been given to masonry. We train a convolutional …

Quantification of structural defects using pixel level spatial information from photogrammetry

Y Guo, X Shen, J Linke, Z Wang, K Barati - Sensors, 2023 - mdpi.com
Aging infrastructure has drawn increased attention globally, as its collapse would be
destructive economically and socially. Precise quantification of minor defects is essential for …

Deep transfer learning method for detection of internal cavities in concrete-filled steel tube structural elements

X Su, X Feng, S Gong, F Ansari - Tunnelling and Underground Space …, 2024 - Elsevier
Concrete-filled steel tubes (CFSTs) are widely used as structural elements in civil
engineering. However, their load-carrying capacities are jeopardized due to construction or …

An ensemble approach for robust automated crack detection and segmentation in concrete structures

M Sohaib, S Jamil, JM Kim - Sensors, 2024 - mdpi.com
To prevent potential instability the early detection of cracks is imperative due to the prevalent
use of concrete in critical infrastructure. Automated techniques leveraging artificial …

Surface features of frost damaged concrete: A study using multi-point micro displacement laser ranging method

Z Gao, L Wang, Z Wang, J Fang - Journal of Building Engineering, 2023 - Elsevier
Surface scaling caused by cyclic freezing and thawing (FT) is one of the major damage
patterns of concrete pavements or hydraulic structures in cold regions, and the damage will …

Aleatoric uncertainty quantification in digital fringe projection systems at a per-pixel basis

S Sreeharan, H Wang, K Hirakawa, B Li - Optics and Lasers in Engineering, 2024 - Elsevier
Digital fringe projection has a large number of applications from quality assurance, reverse
engineering, to reconstructive surgery and digital entertainment. To date, there is no widely …