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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
Gaetano Scarano, Stefania Colonnese, Giuseppe Loprencipe   +2 more
exaly   +6 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, Maria Rosaria Michelina De Blasiis, Alessandro Di Benedetto   +2 more
exaly   +6 more sources

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

Data 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, Amir Golroo, Mohammad Sadegh Fahmani, Mohammad Javad Amani, Farid Hasanitabaar, Mohammad Saleh Entezari, Sane Karimi   +6 more
doaj   +2 more sources

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

Scientific 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, Jinpu Cao, Jun Wan, Qian Gao, Chenglong Liu, Martin Fischer, Yuchuan Du, Yishun Li, Pooja Jain, Difei Wu   +9 more
doaj   +2 more sources

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

Scientific 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, Fenghua Zhu, Zheng Li, Xue Li, Xiaowei Li, Jinwen Wang   +5 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, Yishun Li, Chenglong Liu, Guohong Shen, Hui Xiang   +4 more
doaj   +1 more source

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

Sensors, 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, Syed Ibrahim Hassan, Susan McKeever, David Power, Brian Mulry, Kieran Feighan, Dympna O’Sullivan   +6 more
doaj   +1 more source

Predicting Pavement Condition Index Using Fuzzy Logic Technique

Infrastructures, 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, Usama Heneash, Amgad Hussein, Mohamed Eskebi   +3 more
doaj   +1 more source

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

The 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

ISTD-PDS7: A Benchmark Dataset for Multi-Type Pavement Distress Segmentation from CCD Images in Complex Scenarios

Remote Sensing, 2023
The lack of large-scale, multi-scene, and multi-type pavement distress training data reduces the generalization ability of deep learning models in complex scenes, and limits the development of pavement distress extraction algorithms.
Weidong Song, Zaiyan Zhang, Bing Zhang, Guohui Jia, Hongbo Zhu, Jinhe Zhang   +5 more
doaj   +1 more source