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Deep learning for automated visual inspection in manufacturing and maintenance: a survey of open-access papers
Quality assessment in industrial applications is often carried out through visual inspection,
usually performed or supported by human domain experts. However, the manual visual …
usually performed or supported by human domain experts. However, the manual visual …
Concrete road crack detection using deep learning-based faster R-CNN method
Concrete roads have high durability and long-term performance. To ensure this, proper
design, good quality application and necessary maintenance are essential …
design, good quality application and necessary maintenance are essential …
Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources
Detecting road damage quickly and accurately facilitates the ability of road-maintenance
agencies to make timely repairs to road surfaces, maintain optimal road conditions, optimize …
agencies to make timely repairs to road surfaces, maintain optimal road conditions, optimize …
Use of UAV-based photogrammetry products for semi-automatic detection and classification of asphalt road damage in landslide-affected areas
Transportation networks are severely affected by natural hazards, including landslides. The
prioritization of maintenance works is required to preserve the efficiency and functionality of …
prioritization of maintenance works is required to preserve the efficiency and functionality of …
Deep learning-based crack detection: A survey
Cracks are an acute distress in an asphalt pavement, which must be detected and quantified
to diagnose the pavement's health. Hence, many researchers have developed methods to …
to diagnose the pavement's health. Hence, many researchers have developed methods to …
An efficient and scalable deep learning approach for road damage detection
Pavement condition evaluation is essential to time the preventative or rehabilitative actions
and control distress propagation. Failing to conduct timely evaluations can lead to severe …
and control distress propagation. Failing to conduct timely evaluations can lead to severe …
GCN-based pavement crack detection using mobile LiDAR point clouds
Mobile Laser Scanning (MLS) system can provide high-density and accurate 3D point
clouds that enable rapid pavement crack detection for road maintenance tasks. Supervised …
clouds that enable rapid pavement crack detection for road maintenance tasks. Supervised …
[HTML][HTML] Improved YOLOv5-based real-time road pavement damage detection in road infrastructure management
Deep learning has enabled a straightforward, convenient method of road pavement
infrastructure management that facilitates a secure, cost-effective, and efficient transportation …
infrastructure management that facilitates a secure, cost-effective, and efficient transportation …
Fast and accurate road crack detection based on adaptive cost-sensitive loss function
Numerous detection problems in computer vision, including road crack detection, suffer from
exceedingly foreground–background imbalance. Fortunately, modification of loss function …
exceedingly foreground–background imbalance. Fortunately, modification of loss function …
Assessing severity of road cracks using deep learning-based segmentation and detection
J Ha, D Kim, M Kim - The Journal of Supercomputing, 2022 - Springer
For the successful operation of pavement management system, it is necessary to automate
the detection, classification, and severity assessment of road cracks, which are bottlenecks …
the detection, classification, and severity assessment of road cracks, which are bottlenecks …