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Structural crack detection using deep convolutional neural networks
Abstract Convolutional Neural Networks (CNN) have immense potential to solve a broad
range of computer vision problems. It has achieved encouraging results in numerous …
range of computer vision problems. It has achieved encouraging results in numerous …
Computer vision applications in intelligent transportation systems: a survey
As technology continues to develop, computer vision (CV) applications are becoming
increasingly widespread in the intelligent transportation systems (ITS) context. These …
increasingly widespread in the intelligent transportation systems (ITS) context. These …
Concrete bridge surface damage detection using a single‐stage detector
Early and timely detection of surface damages is important for maintaining the functionality,
reliability, and safety of concrete bridges. Recent advancement in convolution neural …
reliability, and safety of concrete bridges. Recent advancement in convolution neural …
A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure
To ensure the safety and the serviceability of civil infrastructure it is essential to visually
inspect and assess its physical and functional condition. This review paper presents the …
inspect and assess its physical and functional condition. This review paper presents the …
Multi-classifier for reinforced concrete bridge defects
Classifying concrete defects during a bridge inspection remains a subjective and laborious
task. The risk of getting a false result is approximately 50% if different inspectors assess the …
task. The risk of getting a false result is approximately 50% if different inspectors assess the …
A review on automated pavement distress detection methods
In recent years, extensive research has been conducted on pavement distress detection. A
large part of these studies applied automated methods to capture different distresses. In this …
large part of these studies applied automated methods to capture different distresses. In this …
Deep active learning for civil infrastructure defect detection and classification
Automatic detection and classification of defects in infrastructure surface images can largely
boost its maintenance efficiency. Given enough labeled images, various supervised learning …
boost its maintenance efficiency. Given enough labeled images, various supervised learning …
Imaging-based crack detection on concrete surfaces using You Only Look Once network
The detection of cracks in concrete structures is a pivotal aspect in assessing structural
robustness. Current inspection methods are subjective, relying on the inspector's experience …
robustness. Current inspection methods are subjective, relying on the inspector's experience …
[HTML][HTML] Combining the YOLOv4 deep learning model with UAV imagery processing technology in the extraction and quantization of cracks in bridges
Bridges are often at risk due to the effects of natural disasters, such as earthquakes and
typhoons. Bridge inspection assessments normally focus on cracks. However, numerous …
typhoons. Bridge inspection assessments normally focus on cracks. However, numerous …
Map** computer vision research in construction: Developments, knowledge gaps and implications for research
Computer vision is transforming processes associated with the engineering and
management of construction projects. It can enable the acquisition, processing, analysis of …
management of construction projects. It can enable the acquisition, processing, analysis of …