Image-based crack detection methods: A review
Annually, millions of dollars are spent to carry out defect detection in key infrastructure
including roads, bridges, and buildings. The aftermath of natural disasters like floods and …
including roads, bridges, and buildings. The aftermath of natural disasters like floods and …
A critical review on structural health monitoring: Definitions, methods, and perspectives
VR Gharehbaghi, E Noroozinejad Farsangi… - … methods in engineering, 2022 - Springer
The benefits of tracking, identifying, measuring features of interest from structure responses
have endless applications for saving cost, time and improving safety. To date, structural …
have endless applications for saving cost, time and improving safety. To date, structural …
Pavement defect detection with deep learning: A comprehensive survey
Pavement defect detection is of profound significance regarding road safety, so it has been a
trending research topic. In the past years, deep learning based methods have turned into a …
trending research topic. In the past years, deep learning based methods have turned into a …
Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results
Abstract Machine learning models have been developed to perform damage detection using
images to improve bridge inspection efficiency. However, in damage detection using images …
images to improve bridge inspection efficiency. However, in damage detection using images …
ECSNet: An accelerated real-time image segmentation CNN architecture for pavement crack detection
The ability to perform pixel-wise segmentation on pavement cracks in real-time is paramount
in road service condition assessment and maintenance decision-making practices. Recent …
in road service condition assessment and maintenance decision-making practices. Recent …
Revolutionizing concrete analysis: An in-depth survey of AI-powered insights with image-centric approaches on comprehensive quality control, advanced crack …
Over the last two decades, the integration of big data and deep learning technologies has
demonstrated remarkable effectiveness across various domains of civil engineering, leading …
demonstrated remarkable effectiveness across various domains of civil engineering, leading …
[HTML][HTML] Automatic pavement damage predictions using various machine learning algorithms: Evaluation and comparison
R Nyirandayisabye, H Li, Q Dong, T Hakuzweyezu… - Results in …, 2022 - Elsevier
In recent years, different technologies based on Machine Learning (ML) algorithms have
been developed to evaluate road distress quality and help with pavement maintenance …
been developed to evaluate road distress quality and help with pavement maintenance …
Artificial neural network-based automated crack detection and analysis for the inspection of concrete structures
JJ Kim, AR Kim, SW Lee - Applied Sciences, 2020 - mdpi.com
The damage investigation and inspection methods for infrastructures performed in small-
scale (type III) facilities usually involve a visual examination by an inspector using surveying …
scale (type III) facilities usually involve a visual examination by an inspector using surveying …
Image Processing Techniques for Concrete Crack Detection: A Scientometrics Literature Review
Cracks in concrete surfaces are one of the most prominent causes of the degradation of
concrete structures such as bridges, roads, buildings, etc. Hence, it is very crucial to detect …
concrete structures such as bridges, roads, buildings, etc. Hence, it is very crucial to detect …
Transfer learned deep feature based crack detection using support vector machine: a comparative study
Technology offers a lot of potential that is being used to improve the integrity and efficiency
of infrastructures. Crack is one of the major concerns that can affect the integrity or usability …
of infrastructures. Crack is one of the major concerns that can affect the integrity or usability …