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A Drone-Based Concrete Crack Inspection System by Using Morphological Component Analysis and Sub-Pixel Width Estimation
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- Dixit Ankur
- Kyushu Institute of Technology
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- Oshiumi Wataru
- Kyushu Institute of Technology
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- Wagatsuma Hiroaki
- Kyushu Institute of Technology RIKEN CBS
Description
Social infrastructure inspections were relying on human experts, and then a recent topic is a possible implementation to realize an automated inspection based on machines and sophisticated software algorithms. We have studied an advancement of Morphological Component Analysis (MCA) to apply the concrete-crack position estimation especially for submillimeter-width cracks, which are highly difficult for traditional methods to detect finely. We demonstrated a concrete crack detection from images obtained from proximity cameras attached a specialized multicopter, by using the MCA-based crack position estimation and the linear regression-based sub-pixel width estimation. It will contribute to the actual field work not only for the concrete crack detection but also various social infrastructure inspections.
Journal
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- Proceedings of International Conference on Artificial Life and Robotics
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Proceedings of International Conference on Artificial Life and Robotics 27 717-723, 2022-01-20
ALife Robotics Corporation Ltd.
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Keywords
Details 詳細情報について
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- CRID
- 1390291767555858432
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- ISSN
- 21887829
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- OpenAIRE
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- Abstract License Flag
- Disallowed