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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 …
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 …
[HTML][HTML] Improvement of lightweight convolutional neural network model based on YOLO algorithm and its research in pavement defect detection
FJ Du, SJ Jiao - Sensors, 2022 - mdpi.com
To ensure the safe operation of highway traffic lines, given the imperfect feature extraction of
existing road pit defect detection models and the practicability of detection equipment, this …
existing road pit defect detection models and the practicability of detection equipment, this …
Cross‐scene pavement distress detection by a novel transfer learning framework
Deep learning has achieved promising results in pavement distress detection. However, the
training model's effectiveness varies according to the data and scenarios acquired by …
training model's effectiveness varies according to the data and scenarios acquired by …
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 …
Improved pixel-level pavement-defect segmentation using a deep autoencoder
Convolutional neural networks perform impressively in complicated computer-vision image-
segmentation tasks. Vision-based systems surpass humans in speed and accuracy in …
segmentation tasks. Vision-based systems surpass humans in speed and accuracy in …
[HTML][HTML] Review of intelligent road defects detection technology
Y Zhou, X Guo, F Hou, J Wu - Sustainability, 2022 - mdpi.com
Road defects are important factors affecting traffic safety. In order to improve the
identification efficiency of road diseases and the pertinence of maintenance and …
identification efficiency of road diseases and the pertinence of maintenance and …
Automatic detection of stone pavement's pattern based on UAV photogrammetry
Pavement management system (PMS) is a set of tools that assist road agencies in finding
optimal strategies for maintaining pavements in a serviceable condition over a period of …
optimal strategies for maintaining pavements in a serviceable condition over a period of …
[HTML][HTML] SD-GCN: Saliency-based dilated graph convolution network for pavement crack extraction from 3D point clouds
Accurate pavement crack extraction is significant for pavement routine maintenance and
potential traffic disaster minimization. Due to unordered data formats, intensity distinctions …
potential traffic disaster minimization. Due to unordered data formats, intensity distinctions …
What's cracking? A review and analysis of deep learning methods for structural crack segmentation, detection and quantification
Surface cracks are a very common indicator of potential structural faults. Their early
detection and monitoring is an important factor in structural health monitoring. Left untreated …
detection and monitoring is an important factor in structural health monitoring. Left untreated …