| Project/Area Number |
15K12014
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Information network
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| Research Institution | Tohoku University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
大町 真一郎 東北大学, 工学研究科, 教授 (30250856)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2017: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
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| Keywords | 歩行者ナビゲーション / 位置推定 / ユビキタスコンピューティング / computer vision |
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| Outline of Final Research Achievements |
In this research, we aim to realize indoor pedestrian navigation only with a smartphone even in the facilities without indoor maps and positioning infrastructures. Taking a picture of a floormap within an information board, which is posed for humans, with a smartphone, and it is analyzed to create a digitized map on the spot. The indoor pedestrian navigation can be realized by using the improvisational digitized map and the pedestrian dead reckoning. We developed a method to analyze a floormap image and a method to perform map matching using a map with unknown scale and orientation. We implemented the method on smartphones, and confirmed that the proposed framework can be worked in actual environments.
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