2022
DOI: 10.2208/journalofjsce.10.1_235
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Development of an Autonomous Road Surface Damage Inspection Program Using Deep Convolutional Neural Network

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“…Maeda et al (2018) developed a road damage detection system using smartphone images in Japan. Thuyet et al (2022) built an autonomous road inspection system using deep learning and data obtained utilizing a laser crack measurement system (LCMS) to detect cracks and patches. Other studies such as Goncalves and Givigi (2016) and Hong et al (2020) developed methods to detect and measure crack defects in civil infrastructure from simple image data containing a few objects.…”
Section: Datasets Simple Segmentation and Deep Learningmentioning
confidence: 99%
“…Maeda et al (2018) developed a road damage detection system using smartphone images in Japan. Thuyet et al (2022) built an autonomous road inspection system using deep learning and data obtained utilizing a laser crack measurement system (LCMS) to detect cracks and patches. Other studies such as Goncalves and Givigi (2016) and Hong et al (2020) developed methods to detect and measure crack defects in civil infrastructure from simple image data containing a few objects.…”
Section: Datasets Simple Segmentation and Deep Learningmentioning
confidence: 99%