Fully-automatic build and update technology of 3D as-built equipment model by laser scanning
| Project/Area Number |
24360057
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Design engineering/Machine functional elements/Tribology
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| Research Institution | Hokkaido University |
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Principal Investigator |
KANAI Satoshi 北海道大学, 情報科学研究科, 教授 (90194878)
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| Co-Investigator(Kenkyū-buntansha) |
DATE Hiroaki 北海道大学, 大学院情報科学研究科, 准教授 (20374605)
MIZOGUCHI Tomohiro 日本大学, 工学部, 准教授 (30547831)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥19,240,000 (Direct Cost: ¥14,800,000、Indirect Cost: ¥4,440,000)
Fiscal Year 2014: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2013: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2012: ¥14,040,000 (Direct Cost: ¥10,800,000、Indirect Cost: ¥3,240,000)
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| Keywords | 形状モデリング / CAD / 安心・安全設計 / 建設マネジメント / 維持管理工学 / レーザスキャン / MLS / CAD/CAE / 物体認識 / CAD・CAE / 安全・安心設計 / 点群 |
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| Outline of Final Research Achievements |
The purpose of this research is to develop advanced and fully-automated software for object recognition and modeling from massive laser scanned point clouds captured from large-scale equipment with current status to automatically construct “as-built equipment model” where each object in the equipment is semantically annotated. The software also aims for updating the as-built model continuously over time with minimum effort of additional laser scanning operation over long term, and for proposing a set of common and invariant primitive point clouds processing algorithms to support the recognition and modeling chemical plants, large-buildings, electric power plants etc.
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Report
(4 results)
Research Products
(93 results)
