Fast and robust pavement crack distress segmentation utilizing steerable filtering and local order energy
Sign Up to like & getrecommendations! Published in 2020 at "Construction and Building Materials"
DOI: 10.1016/j.conbuildmat.2020.120084
Abstract: Abstract Pavement crack plays an important role in estimating pavement conditions and implementing pavement maintenance management. There are three shortcomings summarized. (1) Low contrast between crack pixels with surrounding pixels; (2) intensity values along crack… read more here.
Keywords: fast robust; local order; pavement crack; order energy ... See more keywords
Automated high-resolution asphalt pavement crack segmentation using deep convolutional neural networks with repeated hierarchical feature fusion
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Pavement Engineering"
DOI: 10.1080/10298436.2024.2402838
Abstract: ABSTRACT Automated collection and detection of asphalt pavement crack conditions are essential for evaluating road conditions and maintenance planning. However, determining crack conditions accurately and efficiently has been challenging due to their small object-to-background information… read more here.
Keywords: resolution asphalt; asphalt pavement; pavement crack; crack ... See more keywords
DMA-Net: DeepLab With Multi-Scale Attention for Pavement Crack Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3158670
Abstract: Cracks are important indicators of pavement structural and operational conditions. Early pavement crack detection and treatments can help extend pavement service life, reduce fuel consumption, and improve safety and ride quality. Pavement distress surveys have… read more here.
Keywords: crack; pavement crack; multi scale; segmentation ... See more keywords
Modeling Multi-Granularity Context Information Flow for Pavement Crack Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2024.3438883
Abstract: Pavement cracks have a highly complex spatial structure, a low contrasting background and a weak spatial continuity, posing a significant challenge to an effective crack detection method. To precisely localize crack from an image, it… read more here.
Keywords: multi granularity; granularity context; pavement crack; crack ... See more keywords
A Global-Local Fusion Model via Edge Enhancement and Transformer for Pavement Crack Defect Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2024.3495697
Abstract: Pavement crack defect detection is an important task in road maintenance. Accurate detection of crack defects has far-reaching significance in maintaining the health condition of roads. Although many excellent crack defect detection algorithms have emerged,… read more here.
Keywords: enhancement; edge; fusion; crack defect ... See more keywords
Conditional Pavement Crack Data Generation for Selective Data Augmentation Using GANs
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2025.3597944
Abstract: The adoption of Deep Learning techniques for automated crack detection is hindered by the lack of high-quality, balanced training datasets, a common issue resulting in detection bias and overfitting in model training. Data imbalances, where… read more here.
Keywords: type disp; pavement crack; crack; augmentation ... See more keywords
A Pavement Crack Detection Method Based on Multiscale Attention and HFS
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1822585
Abstract: To solve the problem of low detection accuracy due to the loss of detailed information when extracting pavement crack features in traditional U-shaped networks, a pavement crack detection method based on multiscale attention and hesitant… read more here.
Keywords: crack; pavement crack; crack detection; method ... See more keywords
Comparison and Analysis of Several Clustering Algorithms for Pavement Crack Segmentation Guided by Computational Intelligence
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/8965842
Abstract: Cracks are one of the most common types of imperfections that can be found in concrete pavement, and they have a significant influence on the structural strength. The purpose of this study is to investigate… read more here.
Keywords: crack; pavement crack; clustering algorithms; comparison ... See more keywords
Enhanced YOLOv8-based pavement crack detection: A high-precision approach
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DOI: 10.1371/journal.pone.0324512
Abstract: At present, the repair of cracks is still implemented manually, which has the problems of low identification efficiency and high labor cost. Crack detection is the key to realize the mechanical and intelligent crack repair.… read more here.
Keywords: precision; pavement crack; crack; crack detection ... See more keywords
A Pavement Crack Detection Method via Deep Learning and a Binocular-Vision-Based Unmanned Aerial Vehicle
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DOI: 10.3390/app14051778
Abstract: This study aims to enhance pavement crack detection methods by integrating unmanned aerial vehicles (UAVs) with deep learning techniques. Current methods encounter challenges such as low accuracy, limited efficiency, and constrained application scenarios. We introduce… read more here.
Keywords: detection; deep learning; unmanned aerial; pavement crack ... See more keywords
VDCrackGAN: A Generative Adversarial Network with Transformer for Pavement Crack Data Augmentation
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14177907
Abstract: Addressing the challenge of limited samples arising from the difficulty and high cost of pavement crack, image collecting and labeling, along with the inadequate ability of traditional data augmentation methods to enhance sample feature space,… read more here.
Keywords: vdcrackgan generative; pavement crack; crack; network ... See more keywords