Results 11 to 20 of about 3,165,933 (259)
Automated Pavement Distress Detection Based on Convolutional Neural Network
IEEE AccessPavement distress detection is crucial in road health assessment and monitoring. However, there are still some challenges in extracting pavement distress based on deep learning: such as insufficient segmentation, extraction errors and discontinuities. In
Jinhe Zhang +4 more
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From manual to automatic pavement distress detection and classification [PDF]
2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2017 Detection and classification of distresses is a fundamental activity in the road pavement management. Even in the early stages of deterioration, road pavement needs to be monitored to identify problems, evaluating the actual conditions and predicting what the future conditions will be.
Cafiso, S. +3 more
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BuildingsPavement distress seriously affects the quality of pavement and reduces driving comfort and safety. The dropped objects from vehicles have increased the risks of traffic accidents.
Lin Xu +4 more
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A review on automated pavement distress detection methods [PDF]
Cogent Engineering, 2017 In recent years, extensive research has been conducted on pavement distress detection. A large part of these studies applied automated methods to capture different distresses. In this paper, a literature review on the distresses and related detection methods are presented. This review also includes commercial solutions.
Coenen, Tom B.J., Golroo, Amir
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UAV-PDD2023: A benchmark dataset for pavement distress detection based on UAV images [PDF]
Data in Brief, 2023 Junfei Zhang
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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
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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 +6 more
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Pavement Distress Estimation via Signal on Graph Processing
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
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Journal 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
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International 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
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