Application of image technology on pavement distress detection: A review
Z Du, J Yuan, F Xiao, C Hettiarachchi - Measurement, 2021 - Elsevier
Digital image processing technology has been widely applied in various fields, and it is also
increasingly used in pavement distress detection in recent years. The objective of this review …
increasingly used in pavement distress detection in recent years. The objective of this review …
Combined use of GPR and other NDTs for road pavement assessment: An overview
Roads are the main transportation system in any country and, therefore, must be maintained
in good physical condition to provide a safe and seamless flow to transport people and …
in good physical condition to provide a safe and seamless flow to transport people and …
Pothole detection based on disparity transformation and road surface modeling
Pothole detection is one of the most important tasks for road maintenance. Computer vision
approaches are generally based on either 2D road image analysis or 3D road surface …
approaches are generally based on either 2D road image analysis or 3D road surface …
A deep learning approach for fast detection and classification of concrete damage
Y Jiang, D Pang, C Li - Automation in Construction, 2021 - Elsevier
The detection and classification of concrete damage are essential for keeping the
infrastructure in good condition which have become a focused area. It is worth noting that …
infrastructure in good condition which have become a focused area. It is worth noting that …
Rethinking road surface 3-d reconstruction and pothole detection: From perspective transformation to disparity map segmentation
Potholes are one of the most common forms of road damage, which can severely affect
driving comfort, road safety, and vehicle condition. Pothole detection is typically performed …
driving comfort, road safety, and vehicle condition. Pothole detection is typically performed …
Pothole detection using location-aware convolutional neural networks
H Chen, M Yao, Q Gu - International Journal of Machine Learning and …, 2020 - Springer
Poor road conditions, such as potholes, are a nuisance to society, which would annoy
passengers, damage vehicles, and even cause accidents. Thus, detecting potholes is an …
passengers, damage vehicles, and even cause accidents. Thus, detecting potholes is an …
A real-time automatic pavement crack and pothole recognition system for mobile Android-based devices
A Tedeschi, F Benedetto - Advanced Engineering Informatics, 2017 - Elsevier
Due to the rapid growth of vehicles and traffic accidents caused by road pavement defects,
road safety has become a pressing concern worldwide. For this reason, Countries and …
road safety has become a pressing concern worldwide. For this reason, Countries and …
Machine vision-based model for spalling detection and quantification in subway networks
Spalling is a significant surface defect that can compromise the integrity and durability of
concrete structures. The detection and evaluation of spalling are predominantly conducted …
concrete structures. The detection and evaluation of spalling are predominantly conducted …
Road damage detection based on unsupervised disparity map segmentation
This article presents a novel road damage detection algorithm based on unsupervised
disparity map segmentation. Firstly, a disparity map is transformed by minimizing an energy …
disparity map segmentation. Firstly, a disparity map is transformed by minimizing an energy …
Autonomous pavement distress detection using ground penetrating radar and region-based deep learning
Many data processing technologies have been utilized for pavement distress detection (eg,
reflection cracks, water-damage pits, and uneven settlements) using ground penetrating …
reflection cracks, water-damage pits, and uneven settlements) using ground penetrating …