Results 1 to 10 of about 1,753 (113)

Pavement Distress Estimation via Signal on Graph Processing [PDF]

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   +2 more sources

Attain: Inclusive annotated pavement distress types and severity datasetMendeley Data [PDF]

open access: yesData in Brief
Pavement distress detection plays a crucial role in pavement management and rehabilitation (M&R) by providing essential data for maintenance decision-making.
Mohammad Rezaeimanesh   +6 more
doaj   +2 more sources

A Large-Scale Image Repository for Automated Pavement Distress Analysis and Degradation Trend Prediction [PDF]

open access: yesScientific Data
In recent years, automated detection technologies for large-scale pavement distress have become a focal point of research in the transportation sector.
Hanlin Yang   +9 more
doaj   +2 more sources

Optimized deep learning model with integrated spectrum focus transformer for pavement distress recognition and classification [PDF]

open access: yesScientific Reports
In the task of pavement distress recognition and classification, the complexity of the pavement environment, the small proportion of distresses in images, significant variation in distress scales, and the influence of features such as vehicles and ...
Wenlin Wu   +5 more
doaj   +2 more sources

Pavement Distress Detection Methods: A Review

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
exaly   +3 more sources

Automated Multi-Type Pavement Distress Segmentation and Quantification Using Transformer Networks for Pavement Condition Index Prediction

open access: yesApplied Sciences (Switzerland)
Pavement distress detection is a crucial task when assessing pavement performance conditions. Here, a novel deep-learning method based on a transformer network, referred to as ISTD-DisNet, is proposed for multi-type pavement distress semantic ...
Weidong Song
exaly   +3 more sources

Artificial-intelligence based prediction of flexible pavement condition deterioration using multi-temporal terrestrial laser scanning observations [PDF]

open access: yesScientific Reports
In recent years, Egypt has witnessed a remarkable development in infrastructure projects as part of its Egypt Vision 2030, which aims to achieve sustainable development.
Abdalziz Alruwaili   +3 more
doaj   +2 more sources

Pavement Distress Initiation Prediction by Time-Lag Analysis and Logistic Regression

open access: yesApplied Sciences, 2022
Pavement condition prediction plays a vital role in pavement maintenance. Many prediction models and analyses have been conducted based on long-term pavement condition data.
Hao Liu   +4 more
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

Predicting Pavement Condition Index Using Fuzzy Logic Technique

open access: yesInfrastructures, 2022
The fuzzy logic technique is one of the effective approaches for evaluating flexible and rigid pavement distress. The process of classifying pavement distress is usually performed by visual inspection of the pavement surface or using data collected by ...
Abdualmtalab Ali   +3 more
doaj   +1 more source

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