Road condition monitoring using smart sensing and artificial intelligence: A review
Road condition monitoring (RCM) has been a demanding strategic research area in
maintaining a large network of transport infrastructures. With advancements in computer …
maintaining a large network of transport infrastructures. With advancements in computer …
Surface defect detection of civil structures using images: Review from data perspective
As civil structures age and deteriorate, it becomes crucial to conduct structural health
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …
DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism
Objective. Computer vision-based up-to-date accurate damage classification and
localization are of decisive importance for infrastructure monitoring, safety, and the …
localization are of decisive importance for infrastructure monitoring, safety, and the …
Edge AI‐Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning
Road surface defects are crucial problems for safe and smooth traffic flow. Due to climate
changes, low quality of construction material, large flow of traffic, and heavy vehicles, road …
changes, low quality of construction material, large flow of traffic, and heavy vehicles, road …
Crack detection algorithm for concrete structures based on super-resolution reconstruction and segmentation network
Crack images collected from civil infrastructures through unmanned aerial vehicles suffer
from motion blur and insufficient resolution, which reduces the accuracy of microcrack …
from motion blur and insufficient resolution, which reduces the accuracy of microcrack …
[HTML][HTML] Automatic tunnel lining crack detection via deep learning with generative adversarial network-based data augmentation
Z Zhou, J Zhang, C Gong, W Wu - Underground Space, 2023 - Elsevier
Aiming at solving the challenges of insufficient data samples and low detection efficiency in
tunnel lining crack detection methods based on deep learning, a novel detection approach …
tunnel lining crack detection methods based on deep learning, a novel detection approach …
[HTML][HTML] A review of deep learning methods for pixel-level crack detection
H Li, W Wang, M Wang, L Li, V Vimlund - Journal of Traffic and …, 2022 - Elsevier
Cracks are a major sign of aging transportation infrastructure. The detection and repair of
cracks is the key to ensuring the overall safety of the transportation infrastructure. In recent …
cracks is the key to ensuring the overall safety of the transportation infrastructure. In recent …
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 …
Transfer learned deep feature based crack detection using support vector machine: a comparative study
Technology offers a lot of potential that is being used to improve the integrity and efficiency
of infrastructures. Crack is one of the major concerns that can affect the integrity or usability …
of infrastructures. Crack is one of the major concerns that can affect the integrity or usability …
Towards a sustainable monitoring: A self-powered smart transportation infrastructure skin
Sustainable monitoring of traffic using clean energy supply has always been a significant
problem for engineers. In this study, we proposed a self-powered smart transportation …
problem for engineers. In this study, we proposed a self-powered smart transportation …