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Paving the Future of Intelligent Pavement Defect Detection with Machine Learning: A Comprehensive Survey of Techniques and Applications | Synapse
March 3, 2026
Paving the Future of Intelligent Pavement Defect Detection with Machine Learning: A Comprehensive Survey of Techniques and Applications
YA
Yasin Asadi
Key Points
Detecting pavement defects with advanced machine learning techniques promotes infrastructure longevity and safety.
Key methods include image analysis, where 90% accuracy was achieved in identifying various defect types.
Comprehensive survey identifies existing detection techniques, data processing methods, and integration of sensors and AI.
Findings may enable enhanced monitoring systems for road infrastructure using intelligent machine learning solutions.
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Yasin Asadi (Tue,) studied this question.
synapsesocial.com/papers/69a7603ac6e9836116a2cc27
https://doi.org/https://doi.org/10.1007/s42947-026-00711-y
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