Results 11 to 20 of about 671 (234)

Automated classification and detection of multiple pavement distress images based on deep learning

Journal of Traffic and Transportation Engineering (English ed. Online), 2023
To achieve automatic, fast, efficient and high-precision pavement distress classification and detection, road surface distress image classification and detection models based on deep learning are trained. First, a pavement distress image dataset is built,
Deru Li, Zhongdong Duan, Xiaoyang Hu, Dongchang Zhang, Yiying Zhang   +4 more
doaj   +3 more sources

Automated Pavement Distress Detection Based on Convolutional Neural Network

IEEE Access
Pavement 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, Shangyu Sun, Weidong Song, Yuxuan Li, Qiaoshuang Teng   +4 more
doaj   +2 more sources

Detection of Flexible Pavement Surface Cracks in Coastal Regions Using Deep Learning and 2D/3D Images [PDF]

Sensors
Pavement 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, Feng Wang, Yongsheng Bai, Haitao Gong   +3 more
doaj   +2 more sources

A review on automated pavement distress detection methods

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.
Tom B.J. Coenen, Amir Golroo
doaj   +3 more sources

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

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

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, Stefania Colonnese, Gaetano Scarano, Giulia Del Serrone, Giuseppe Loprencipe   +4 more
doaj   +1 more source

Applications of Artificial Intelligence Enhanced Drones in Distress Pavement, Pothole Detection, and Healthcare Monitoring with Service Delivery

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
doaj   +1 more source

YOLOv5s-M: A deep learning network model for road pavement damage detection from urban street-view imagery

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, Xianfeng Zhang, Xiao Chen, Bo Zhou, Ziyuan Feng   +4 more
doaj   +1 more source

Young children's perspectives of time: New directions for co‐constructing understandings of quality in ECEC

British Educational Research Journal, EarlyView., 2023
Abstract Children's relationship with time in preschools is an under‐researched area. Young children rarely know how to measure time using a clock, but their experiences of time may contribute to understanding children's well‐being and debates about quality in preschools.
Kristín Dýrfjörð, Anna Magnea Hreinsdóttir, Adrijana Visnjic‐Jevtic, Alison Clark   +3 more
wiley   +1 more source