GPU-enabled pavement distress image classification in real time
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Computing in Civil Engineering"
DOI: 10.1061/(asce)cp.1943-5487.0000630
Abstract: Pavement assessment is a crucial process for the maintenance of municipal roads. However, the detection of pavement distress is usually performed either manually or offline, which is not only time-consuming and subjective, but also results… read more here.
Keywords: distress; image; pavement distress; real time ... See more keywords
Weakly Supervised Patch Label Inference Networks for Efficient Pavement Distress Detection and Recognition in the Wild
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2023.3245192
Abstract: Automatic image-based pavement distress detection and recognition are vital for pavement maintenance and management. However, existing deep learning-based methods largely omit the specific characteristics of pavement images, such as high image resolution and low distress… read more here.
Keywords: distress; pavement distress; weakly supervised; patch label ... See more keywords
Dynamic Pavement Distress Image Stitching Based on Fine-Grained Feature Matching
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Advanced Transportation"
DOI: 10.1155/2020/5804835
Abstract: Camera-based pavement distress detection plays an important role in pavement maintenance. Duplicate collections for the same distress and multiple overlaps of defects are both practical problems that greatly affect the detection results. In this paper,… read more here.
Keywords: image stitching; detection; pavement distress; feature matching ... See more keywords
Pavement Distress Detection with Deep Learning Using the Orthoframes Acquired by a Mobile Mapping System
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DOI: 10.3390/app9224829
Abstract: The subject matter of this research article is automatic detection of pavement distress on highway roads using computer vision algorithms. Specifically, deep learning convolutional neural network models are employed towards the implementation of the detector.… read more here.
Keywords: detection; orthoframes acquired; pavement distress; deep learning ... See more keywords
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