Computer vision framework for crack detection of civil infrastructure—A review
Civil infrastructure (eg, buildings, roads, underground tunnels) could lose its expected
physical and functional conditions after years of operation. Timely and accurate inspection …
physical and functional conditions after years of operation. Timely and accurate inspection …
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 …
Machine learning techniques for pavement condition evaluation
Pavement management systems play a significant role in country's economy since road
authorities are concerned about preserving their priceless road assets for a longer time to …
authorities are concerned about preserving their priceless road assets for a longer time to …
Autonomous structural visual inspection using region‐based deep learning for detecting multiple damage types
Computer vision‐based techniques were developed to overcome the limitations of visual
inspection by trained human resources and to detect structural damage in images remotely …
inspection by trained human resources and to detect structural damage in images remotely …
Visual-based defect detection and classification approaches for industrial applications—a survey
This paper reviews automated visual-based defect detection approaches applicable to
various materials, such as metals, ceramics and textiles. In the first part of the paper, we …
various materials, such as metals, ceramics and textiles. In the first part of the paper, we …
Automatic road crack detection using random structured forests
Cracks are a growing threat to road conditions and have drawn much attention to the
construction of intelligent transportation systems. However, as the key part of an intelligent …
construction of intelligent transportation systems. However, as the key part of an intelligent …
Automatic defect detection of metro tunnel surfaces using a vision-based inspection system
Due to the impact of the surrounding environment changes, train-induced vibration, and
human interference, damage to metro tunnel surfaces frequently occurs. Therefore …
human interference, damage to metro tunnel surfaces frequently occurs. Therefore …
Deep learning for detecting building defects using convolutional neural networks
Clients are increasingly looking for fast and effective means to quickly and frequently survey
and communicate the condition of their buildings so that essential repairs and maintenance …
and communicate the condition of their buildings so that essential repairs and maintenance …
A fast detection method via region‐based fully convolutional neural networks for shield tunnel lining defects
Y Xue, Y Li - Computer‐Aided Civil and Infrastructure …, 2018 - Wiley Online Library
Tunnel lining defects are an important indicator reflecting the safety status of shield tunnels.
Inspired by the state‐of‐the‐art deep learning, a method for automatic intelligent …
Inspired by the state‐of‐the‐art deep learning, a method for automatic intelligent …
Automatic pavement crack detection based on structured prediction with the convolutional neural network
Z Fan, Y Wu, J Lu, W Li - arxiv preprint arxiv:1802.02208, 2018 - arxiv.org
Automated pavement crack detection is a challenging task that has been researched for
decades due to the complicated pavement conditions in real world. In this paper, a …
decades due to the complicated pavement conditions in real world. In this paper, a …