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 …
Concrete road crack detection using deep learning-based faster R-CNN method
K Hacıefendioğlu, HB Başağa - Iranian Journal of Science and …, 2022 - Springer
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 …
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 …
[HTML][HTML] Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open-Access Papers
N Hütten, M Alves Gomes, F Hölken… - Applied System …, 2024 - mdpi.com
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 …
An efficient and scalable deep learning approach for road damage detection
S Naddaf-Sh, MM Naddaf-Sh… - … Conference on Big …, 2020 - ieeexplore.ieee.org
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 …
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 …
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 …
[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 …
Image Processing‐Based Spall Object Detection Using Gabor Filter, Texture Analysis, and Adaptive Moment Estimation (Adam) Optimized Logistic Regression …
ND Hoang - Advances in Civil Engineering, 2020 - Wiley Online Library
This study aims at proposing a computer vision model for automatic recognition of localized
spall objects appearing on surfaces of reinforced concrete elements. The new model is an …
spall objects appearing on surfaces of reinforced concrete elements. The new model is an …