Pavement Distress Estimation via Signal on Graph Processing [PDF]
Sensors, 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 +4 more sources
ROADS-Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation. [PDF]
Sensors (Basel), 2022 Maintenance has a major impact on the financial plan of road managers. To ameliorate road conditions and reduce safety constraints, distress evaluation methods should be efficient and should avoid being time consuming. That is why road cadastral catalogs should be updated periodically, and interventions should be provided for specific management plans.
Mei A +5 more
europepmc +4 more sources
Sampietrini stone pavements: Distress analysis using pavement condition index method [PDF]
Applied Sciences, 2017 In several Italian cities, it is possible to find historical pavements such as the Sampietrini pavements, which are mainly located in the center of the city of Rome.
Galoni, Andrea +2 more
core +3 more sources
Attain: Inclusive annotated pavement distress types and severity datasetMendeley Data [PDF]
Data in BriefPavement 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
LTPLN: Automatic pavement distress detection. [PDF]
PLoS OneAutomatic pavement disease detection aims to address the inefficiency in practical detection. However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios.
Huang WQ, Feng L, He YL.
europepmc +3 more sources
A Large-Scale Image Repository for Automated Pavement Distress Analysis and Degradation Trend Prediction [PDF]
Scientific DataIn 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]
Scientific ReportsIn 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 [PDF]
Infrastructures, 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 +4 more sources
Detection of Flexible Pavement Surface Cracks in Coastal Regions Using Deep Learning and 2D/3D Images [PDF]
SensorsPavement surface distresses are analyzed by transportation agencies to determine section performance across their pavement networks. To efficiently collect and evaluate thousands of lane-miles, automated processes utilizing image-capturing techniques and
Carlos Sanchez +3 more
doaj +2 more sources
Pavement Distress Initiation Prediction by Time-Lag Analysis and Logistic Regression
Applied 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