Global ETD Search
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Showing 1 to 4 of 4 for “"Pavement crack"”.
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Analytical study of computer vision-based pavement crack quantification using machine learning techniques
… a promising non-destructive approach for road pavement condition evaluation. The main objective of this study is to extract, quantify and evaluate important surface defects, such as cracks, using an automated computer vision-based system to provide a better understanding of the pavement …
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Deep learning models for defect and anomaly detection on industrial surfaces
… TILDA dataset. In civil engineering, the DepthCrackNet model, optimized for pavement crack detection, attains mIoU scores of 77.0% and 83.9% on the Crack500 and DeepCrack datasets. In manufacturing, the E-UNet3+ model for steel defect detection showcases a mIoU score of 86.19% on the …
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Condition Assessment of Civil Infrastructure and Materials Using Deep Learning
… learning and infrared thermography for asphalt pavement crack severity classification. This work focused on longitudinal or transverse cracking. This work first built a dataset with four severity levels (no, low-severity, medium-severity, and high-severity) and three image types (visible, …
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Network-level maintenance decisions for flexible pavement using a soft computing-based framework
An effective pavement management system (PMS) is one that is guided by a software program that ensures that all pavement sections are maintained at adequately high serviceability levels and structural conditions with a low budget and resource usage, without causing any significant negative effect …