| Project/Area Number |
26330123
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Information network
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| Research Institution | Tokyo University of Science, Yamaguchi |
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Principal Investigator |
YAMAMOTO Shinya 山陽小野田市立山口東京理科大学, 工学部, 講師 (10552375)
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| Co-Investigator(Kenkyū-buntansha) |
柴田 直樹 奈良先端科学技術大学院大学, 情報科学研究科, 准教授 (40335477)
勝間 亮 大阪府立大学, 工学(系)研究科(研究院), 助教 (80611409)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 災害救助支援 / 分散協調アルゴリズム / 自律移動ノード / 自律移動センサノード / SLAM |
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| Outline of Final Research Achievements |
When a rescue operation of a disaster, it is useful that there is the indoor map after disaster that can know such as collapsed shelves.
Therefore, we researched that it for the purpose of realizing the automatic generation of the indoor map after the disaster.
As result, we proposed as follows: (1) the invisible marker in pervasive inexpensive materials, that emerges by a black light or films; (2) the automatic indoor map generation system by the reading of the markers on the wall; (3) the circular marker resisting of the blurring with the irregularity of the road surface by the camera equipped with in the movable node; (4) the effective unknown field search algorithm with movable nodes cooperating and (5) the patrol course generation algorithm for movable nodes with Voronoi graph.
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