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Detection and Identification of Expansion Joint Gap of Road Bridges by Machine Learning using Line-Scan Camera Images
2021
Applied System Innovation
Recently, the lack of expansion joint gaps on highway bridges in Korea has been increasing. In particular, with the increase in the number of days during the summer heatwave, the narrowing of the expansion joint gap causes symptoms such as expansion joint damage and pavement blow-up, which threaten traffic safety and structural safety. Therefore, in this study, we developed a machine vision (M/V)-technique-based inspection system that can monitor the expansion joint gap through image analysis
doi:10.3390/asi4040094
fatcat:njr4gyfvpja5ronfjeshzai5be