Results 1 to 10 of about 911 (141)
SUT-Crack: A comprehensive dataset for pavement crack detection across all methods [PDF]
Data 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 +4 more sources
Automatic Pavement Crack Detection Transformer Based on Convolutional and Sequential Feature Fusion [PDF]
Sensors, 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
Crack U-Net:Towards High Quality Pavement Crack Detection [PDF]
Jisuanji 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
Transport, 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 +5 more sources
Improved U-net network asphalt pavement crack detection method. [PDF]
PLoS OneRoad crack detection is one of the important parts of road safety detection. Aiming at the problems such as weak segmentation effect of basic U-Net on pavement crack, insufficient precision of crack contour segmentation, difficult to identify narrow crack and low segmentation accuracy, this paper proposes an improved U-net network pavement crack ...
Zhang Q +6 more
europepmc +4 more sources
Detection of Crack Sealant in the Pretreatment Process of Hot In-Place Recycling of Asphalt Pavement via Deep Learning Method [PDF]
SensorsCrack sealant is commonly used to fill pavement cracks and improve the Pavement Condition Index (PCI). However, during asphalt pavement hot in-place recycling (HIR), irregular shapes and random distribution of crack sealants can cause issues like ...
Kai Zhao +3 more
doaj +2 more sources
Shuffle Attention-Based Pavement-Sealed Crack Distress Detection
SensorsTo enhance the detection of pavement-sealed cracks and ensure the long-term stability of pavement performance, a novel approach called the shuffle attention-based pavement-sealed crack detection is proposed.
Bo Yuan +4 more
doaj +3 more sources
Detection and classification of asphalt pavement cracks using YOLOv5 [PDF]
مجله 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
Applied 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
Deeper Networks for Pavement Crack Detection [PDF]
Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC), 2017 Pavement crack detection using computer vision techniques has been studied widely over the past several years. However, these techniques have faced several limitations when applied to real world situations due to for example changes of lightning conditions or variation in textures. But the recent advancements in the field of artificial neural networks,
Pauly, L, Hogg, D, Fuentes, R, Peel, H
openaire +4 more sources