Proceedings of the Fuzzy System Symposium
35th Fuzzy System Symposium
Session ID : FC3-3
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Research for Extraction of Road Feature Images from Video Data using Deep Learning
*Moriguchi TaiseiKenji Nakamura
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Abstract

Currently, the infrastructure built during the period of high economic growth is aging, and the importance of maintenance is increasing. However, ascertaining the extent of the damage is expensive because visual and manual inspection are mainstream. Existing research using point cloud data and image data has been conducted to solve this problem. However, there are many limitations, such as high measurement costs and filming conditions, so it is difficult to use in daily inspections. In this research, we propose a road support system that can be patrolled regularly at low cost by extracting inspection target features from video data.

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© 2019 Japan Society for Fuzzy Theory and Intelligent Informatics
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