STUDY ON THE BRIDGE INSPECTION SUPORT SYSTEM USING BY XR
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- EMOTO Hisao
- 鳥取大学工学部社会システム土木系学科
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- SATO Kanako
- 長岡技術科学大学 環境社会基盤工学課程
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- OTA Takao
- 鳥取大学工学部社会システム土木系学科
Bibliographic Information
- Other Title
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- XRの活用による橋梁点検者支援システムの研究
Abstract
<p>In Japan, we are aiming to realize a next society in which cyberspace and physical space are highly integrated toward the Society 5.0 era. There is a lack of human resources involved in bridge inspection or management and also Ministry of Land, Infrastructure, Transport and Tourism said to change the how to work called by i-Construction. In the maintenance of bridges and other social infrastructure structures, appropriate visual inspection results and evaluations are important for renovating and reinforcing bridges. In order to change these problems, association of public group or private company are held in seminar for bridge inspection for newcomer inspector. In the bridge-field site, staff and participant have been taken of car accident and weather, etc. Furthermore, staff and participant have to be mobile the field. For example, it takes for 1 to 2 hours by car depend on area of prefecture.</p><p>Recently, it is becoming to be popular for VR and AR techniques, which are collectively called XR. Our research group is made 3D-VR model by existing bridge and virtual bridge in order to learn how to inspection for newcomer bridge inspector. And we are also developing a system to display bridge information using AR in order to improve inspection work efficiency and to reduce hard print of documents. In the future as the 3D VR-model is used by MR-HMD.</p><p>In this study, it is aim to be efficiently at the bridge inspection work and management work. Firstly, we reported how to make 3D VR model, secondly how to make AR system and how to recognize existing model. According to these results, it is applied to learnt to how to inspect for bridge using 3D VR-model and AR system. Furthermore, in the near future these methods will be contribute to manage of civil infrastructure such as bridges.</p>
Journal
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- Intelligence, Informatics and Infrastructure
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Intelligence, Informatics and Infrastructure 3 (J2), 145-157, 2022
Japan Society of Civil Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390575588668901376
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- ISSN
- 24359262
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed