Results 1 to 10 of about 1,034 (162)

Automatic Pavement Crack Detection Transformer Based on Convolutional and Sequential Feature Fusion [PDF]

open access: yesSensors, 2023
To solve the problem of low accuracy of pavement crack detection caused by natural environment interference, this paper designed a lightweight detection framework named PCDETR (Pavement Crack DEtection TRansformer) network, based on the fusion of the ...
Zhaoyun Sun   +4 more
doaj   +2 more sources

SUT-Crack: A comprehensive dataset for pavement crack detection across all methods [PDF]

open access: yesData in Brief, 2023
The SUT-Crack dataset (Sharif University of Technology Crack Dataset) presents a collection of high-quality images depicting asphalt pavement cracks specifically designed to facilitate crack detection using various deep learning methods, including ...
Mohammadreza Sabouri, Alireza Sepidbar
doaj   +2 more sources

Crack Detection of Concrete Pavement With Cross-Entropy Loss Function and Improved VGG16 Network Model

open access: yesIEEE Access, 2020
Concrete pavement defects are an important indicator reflecting the safety status of pavement. However, it is difficult to accurately detect the concrete pavement cracks due to the complex concrete pavement environment, such as uneven illumination ...
Zhong Qu   +3 more
doaj   +3 more sources

A Dual-Path CNN and Transformer Network for Continuous Pavement Crack Detection [PDF]

open access: yesSensors
Cracks are among the most common pavement distresses, and their timely detection is crucial for road maintenance. Existing methods struggle to completely capture elongated and irregular cracks, often resulting in fragmented detection outputs, which leads
Jinhe Zhang   +4 more
doaj   +2 more sources

Pavement Crack Detection Based on the Improved Swin-Unet Model

open access: yesBuildings
Accurate pavement surface crack detection is crucial for analyzing pavement survey data and the development of maintenance strategies. On the basis of Swin-Unet, this study develops the improved Swin-Unet (iSwin-Unet) model with the developed skip ...
Song Chen   +6 more
doaj   +3 more sources

Crack U-Net:Towards High Quality Pavement Crack Detection [PDF]

open access: yesJisuanji kexue, 2022
Pavement cracks constitute a major potential threat to driving safety.Previous manual detection methods are highly subjective and inefficient.Current computer vision methods have limited applications in crack detection.Existing models have poor ...
ZHU Yi-fan, WANG Hai-tao, LI Ke, WU He-jun
doaj   +2 more sources

Automated shape-based pavement crack detection approach

open access: yesTransport, 2018
Pavements are critical man-made infrastructure systems that undergo repeated traffic and environmental loadings. Consequently, they deteriorate with time and manifest certain distresses. To ensure long-lasting performance and appropriate level of service,
Teng Wang   +3 more
doaj   +4 more sources

Detection and classification of asphalt pavement cracks using YOLOv5 [PDF]

open access: yesمجله مدل سازی در مهندسی, 2023
Automatic pavement crack detection is essential for assessing road maintenance and ensuring safe driving. Traditional crack detection has problems such as low efficiency and lack of complete detection.
hassan hosseinzadeh   +2 more
doaj   +1 more source

Detection Method of Cracks in Expressway Asphalt Pavement Based on Digital Image Processing Technology

open access: yesApplied Sciences, 2023
Considering the limitations of the current pavement crack damage detection methods, this study proposes a method based on digital image processing technology for detecting highway asphalt pavement crack damage.
Hui Fang, Na He
doaj   +1 more source

Deep Domain Adaptation for Pavement Crack Detection

open access: yesIEEE Transactions on Intelligent Transportation Systems, 2022
Published on IEEE Transactions on Intelligent Transportation ...
Huijun Liu   +6 more
openaire   +2 more sources

Home - About - Disclaimer - Privacy