Enhancing Pavement Distress Detection Using a Morphological Constraints-Based Data Augmentation Method
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DOI: 10.3390/coatings13040764
Abstract: Pavement distress data in a single section usually presents a long-tailed distribution, with potholes, sealed cracks, and other distresses normally located at the tail. This distribution will seriously affect the performance and robustness of big… read more here.
Keywords: distress; data augmentation; pavement distress; distress detection ... See more keywords
Deep Learning in Data-Driven Pavement Image Analysis and Automated Distress Detection: A Review
Sign Up to like & getrecommendations! Published in 2018 at "Data"
DOI: 10.3390/data3030028
Abstract: Deep learning, more specifically deep convolutional neural networks, is fast becoming a popular choice for computer vision-based automated pavement distress detection. While pavement image analysis has been extensively researched over the past three decades or… read more here.
Keywords: detection; pavement image; deep learning; distress detection ... See more keywords