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
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
exaly +6 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
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
Correlation of Pavement Distress and Roughness Measurement
Applied Sciences, 2022 Riyadh City established and implemented a Pavement Maintenance Management System (PMMS) through the General Directorate of Maintenance and operation. The system was created to address the difficulties that come with maintaining and reserving the pavement
Abdullah I. Al-Mansour, Amr A. Shokri
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
A pavement distresses identification method optimized for YOLOv5s [PDF]
Scientific Reports, 2022 AbstractAutomatic detection and recognition of pavement distresses is the key to timely repair of pavement. Repairing the pavement distresses in time can prevent the destruction of road structure and the occurrence of traffic accidents. However, some other factors, such as a single object category, shading and occlusion, make detection of pavement ...
Keyou Guo +3 more
openaire +3 more sources