Basic Research for Recognizing Road Objects using Point Cloud Data by Deep Learning
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- Tsukada Yoshinori
- Setsunan University
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- Nakamura Kenji
- Osaka University of Economics
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- Tanaka Shigenori
- Kansai University
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- Umehara Yoshimasa
- Kansai University
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- Hirano Nobutoshi
- Nippon Insiek
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- Otsuki Shoji
- Nippon Insiek
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- Kawamura Yoshikazu
- Nippon Insiek
Bibliographic Information
- Other Title
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- 深層学習による点群データからの 道路地物の識別に関する基礎的研究
Description
<p>The Ministry of Land, Infrastructure, Transport and Tourism has formulated a routine inspection procedure for road maintenance and repair. On the other hand, much of the social infrastructure in Japan is deteriorated. Therefore, it is necessary to streamline these periodic inspections. In the existing research, it has been proven that deformation and deterioration of road surfaces can be confirmed without dispatching inspectors by using point cloud data and images acquired through mobile mapping systems. However, it takes time to visually find a target feature from within a huge amount of data. In this research, we project point cloud data and generate images. Then, we propose a method to identify road features using projected images by deep learning.</p>
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 35 (0), 491-492, 2019
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390283659833787136
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- NII Article ID
- 130007773038
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed