Recent computer vision applications for pavement distress and condition assessment
Amidst the unprecedented demographic boom, coupled with climate change, more pressure
is being exerted on road networks. Asset managers are thus in search for time and cost …
is being exerted on road networks. Asset managers are thus in search for time and cost …
Visual Concrete Bridge Defect Classification and Detection Using Deep Learning: A Systematic Review
Visual inspection is an important process for maintaining bridges in road transportation
systems, and preventing catastrophic events and tragedies. In this process, accurate and …
systems, and preventing catastrophic events and tragedies. In this process, accurate and …
A comparative study on crack detection in concrete walls using transfer learning techniques
RE Philip, AD Andrushia, A Nammalvar… - Journal of Composites …, 2023 - mdpi.com
Structural cracks have serious repercussions on the safety, adaptability, and longevity of
structures. Therefore, assessing cracks is an important parameter when evaluating the …
structures. Therefore, assessing cracks is an important parameter when evaluating the …
Weakly supervised crack segmentation using crack attention networks on concrete structures
A Mishra, G Gangisetti… - Structural Health …, 2024 - journals.sagepub.com
Crack detection or segmentation on concrete structures is a vital process in structural health
monitoring (SHM). Though supervised machine learning techniques have gained …
monitoring (SHM). Though supervised machine learning techniques have gained …
A novel transfer learning model for the real-time concrete crack detection
W Qingyi, C Bo - Knowledge-Based Systems, 2024 - Elsevier
The crack is an important index to evaluate the damage degree of concrete structure. While,
the traditional algorithms of crack detection have complex operations and weak …
the traditional algorithms of crack detection have complex operations and weak …
A non-local based microcrack segmentation model optimized for effective high resolution and low-power devices
Concrete is notable for its strength, durability, and versatility, making it a fundamental
material in construction. Nevertheless, microcracks occur in concrete structures due to …
material in construction. Nevertheless, microcracks occur in concrete structures due to …
An image processing approach for fatigue crack identification in cellulose acetate replicas
The cellulose acetate replication technique is an important method for studying material
fatigue. However, extracting accurate information from pictures of cellulose replicas poses …
fatigue. However, extracting accurate information from pictures of cellulose replicas poses …
融合深度学习与特征投影曲线的钢筋绑扎节点检测方法
成彬， 邓磊 - 计算机辅助设计与图形学学报, 2024 - jcad.cn
针对传统人工钢筋绑扎过程中操作效率低, 成本高等问题, 将深度学习技术应用于钢筋绑扎节点
检测, 提出一种融合深度学习与特征投影曲线的钢筋绑扎节点检测方法. 首先 …
检测, 提出一种融合深度学习与特征投影曲线的钢筋绑扎节点检测方法. 首先 …
Semi-supervised crack detection using segment anything model and deep transfer learning
Computer vision models have shown great potential in pavement distress detection. There is
still challenge of low robustness under different scenarios. The model robustness is …
still challenge of low robustness under different scenarios. The model robustness is …
[HTML][HTML] Co-CrackSegment: A New Collaborative Deep Learning Framework for Pixel-Level Semantic Segmentation of Concrete Cracks
In an era of massive construction, damaged and aging infrastructure are becoming more
common. Defects, such as cracking, spalling, etc., are main types of structural damage that …
common. Defects, such as cracking, spalling, etc., are main types of structural damage that …