Road condition monitoring using smart sensing and artificial intelligence: A review

E Ranyal, A Sadhu, K Jain - Sensors, 2022 - mdpi.com
Road condition monitoring (RCM) has been a demanding strategic research area in
maintaining a large network of transport infrastructures. With advancements in computer …

[HTML][HTML] Automatic detection of pothole distress in asphalt pavement using improved convolutional neural networks

D Wang, Z Liu, X Gu, W Wu, Y Chen, L Wang - Remote Sensing, 2022 - mdpi.com
To realize the intelligent and accurate measurement of pavement surface potholes, an
improved You Only Look Once version three (YOLOv3) object detection model combining …

Bayesian-optimized deep learning model to segment deterioration patterns underneath bridge decks photographed by unmanned aerial vehicle

CY Liu, JS Chou - Automation in Construction, 2023 - Elsevier
In recent years, bridge collapses and fractures have occurred in various countries mostly
following a lack of inspection and maintenance. External inspection processes can be very …

Road condition monitoring using vehicle built-in cameras and gps sensors: a deep learning approach

C Ruseruka, J Mwakalonge, G Comert, S Siuhi… - Vehicles, 2023 - mdpi.com
Road authorities worldwide can leverage the advances in vehicle technology by
continuously monitoring their roads' conditions to minimize road maintenance costs. The …

Deep learning–based inspection data mining and derived information fusion for enhanced bridge deterioration assessment

P Miao, G Xing, S Ma, T Srimahachota - Journal of Bridge …, 2023 - ascelibrary.org
Inspection data are usually utilized to assess bridge situations for directing further
maintenance and preservation. However, due to the complexity of inspection data, mining …

Automated detection of through-cracks in pavement using three-instantaneous attributes fusion and Swin Transformer network

H Huang, X Hao, L Pei, J Ding, Y Hu, W Li - Automation in Construction, 2024 - Elsevier
To improve the performance of existing through-crack detection networks by solving the
problem in which through-cracks are misidentified as simple surface cracks due to limited …

Lightweight pruning model for road distress detection using unmanned aerial vehicles

S Jiang, H Wang, Z Ning, S Li - Automation in Construction, 2024 - Elsevier
The size and complexity of the multiobjective detection model restrict its applicability to real-
time road distress detection with unmanned aerial vehicles (UAVs). To address this issue …

Automated pothole condition assessment in pavement using photogrammetry-assisted convolutional neural network

E Ranyal, A Sadhu, K Jain - International Journal of Pavement …, 2023 - Taylor & Francis
Automated detection of pavement distress can prevent deterioration of premature surface
disintegration in pavements. Potholes that are a common sight in harsh and cold terrains are …

Condition assessment of unpaved roads using low-cost computer vision–based solutions

L Lopes Amaral Loures… - Journal of Transportation …, 2023 - ascelibrary.org
Unpaved roads are an important part of the road transportation system of many countries
and they contribute to the accessibility of remote communities and businesses. Despite the …

Research on vacuum glass insulation performance prediction based on unsteady state multivariate data screening and multi-model fusion self-optimization

X Li, Y Wang, F Zhou, L Wang - Engineering Applications of Artificial …, 2024 - Elsevier
A self-optimization regression method based on multivariate data screening and multi-model
fusion is proposed for the regression prediction of vacuum glass insulation performance …