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Pavement Distress Detection Methods: A Review [PDF]

open access: yesInfrastructures, 2018
The road pavement conditions affect safety and comfort, traffic and travel times, vehicles operating cost, and emission levels. In order to optimize the road pavement management and guarantee satisfactory mobility conditions for all road users, the ...
Antonella Ragnoli   +2 more
doaj   +6 more sources

Fine-Grained Detection of Pavement Distress Based on Integrated Data Using Digital Twin

open access: yesApplied Sciences, 2023
The automated detection of distress such as cracks or potholes is a key basis for assessing the condition of pavements and deciding on their maintenance.
Weidong Wang   +4 more
doaj   +3 more sources

Pavement distress detection using convolutional neural network (CNN): A case study in Montreal, Canada

open access: yesInternational Journal of Transportation Science and Technology, 2022
Pavement distresses, including cracking and disintegration, deteriorate road user’s comfort, damage vehicles, increase evasive maneuvers, and increase emissions.
Ce Zhang   +3 more
doaj   +3 more sources

Automated classification and detection of multiple pavement distress images based on deep learning

open access: yesJournal of Traffic and Transportation Engineering (English ed. Online), 2023
To achieve automatic, fast, efficient and high-precision pavement distress classification and detection, road surface distress image classification and detection models based on deep learning are trained. First, a pavement distress image dataset is built,
Deru Li   +4 more
doaj   +3 more sources

HIGHWAY AND AIRPORT RUNWAY PAVEMENT INSPECTION USING MOBILE LiDAR [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
With an ever-increasing network of thousands of miles of pavement laid out over highways, road networks, and airport runways, their continuous monitoring is a task of utmost importance to public agencies responsible for their maintenance.
R. Ravi, D. Bullock, A. Habib
doaj   +1 more source

An Exploration of Recent Intelligent Image Analysis Techniques for Visual Pavement Surface Condition Assessment

open access: yesSensors, 2022
Road pavement condition assessment is essential for maintenance, asset management, and budgeting for pavement infrastructure. Countries allocate a substantial annual budget to maintain and improve local, regional, and national highways.
Waqar S. Qureshi   +6 more
doaj   +1 more source

Pavement Distress Estimation via Signal on Graph Processing

open access: yesSensors, 2022
A comprehensive representation of the road pavement state of health is of great interest. In recent years, automated data collection and processing technology has been used for pavement inspection. In this paper, a new signal on graph (SoG) model of road
Salvatore Bruno   +4 more
doaj   +1 more source

Applications of Artificial Intelligence Enhanced Drones in Distress Pavement, Pothole Detection, and Healthcare Monitoring with Service Delivery

open access: yesJournal of Engineering, 2022
Artificial Intelligence (AI) has fascinated the present study assigned to multiple areas such as distress detection on the pavement, pothole detection, and healthcare.
Yue Wang, Tian Ye
doaj   +1 more source

YOLOv5s-M: A deep learning network model for road pavement damage detection from urban street-view imagery

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2023
Road pavement damage affects driving comfort markedly, threatens driving safety, and may even cause traffic accidents. The traffic management department conventionally captures pavement damage information mainly using manual and vehicle-mounted equipment,
Miao Ren   +4 more
doaj   +1 more source

Dynamic Pavement Distress Image Stitching Based on Fine-Grained Feature Matching

open access: yesJournal of Advanced Transportation, 2020
Camera-based pavement distress detection plays an important role in pavement maintenance. Duplicate collections for the same distress and multiple overlaps of defects are both practical problems that greatly affect the detection results.
Yuchuan Du   +3 more
doaj   +1 more source

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