Game Theoretic Learning Approach to Cooperative Active Sensing for Visual Sensor Networks
Project/Area Number |
25420430
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Control engineering/System engineering
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Research Institution | Tokyo Institute of Technology |
Principal Investigator |
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Project Period (FY) |
2013-04-01 – 2016-03-31
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Project Status |
Completed (Fiscal Year 2015)
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Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
|
Keywords | 制御理論 / ゲーム理論 / 協調制御 / ビジュアルセンサネットワーク / 能動センシング |
Outline of Final Research Achievements |
In this project, we have presented distributed active sensing methods for a visual sensor network, a networked multi-camera system, so as to maximize the acquired information on environment. We first have developed two different active sensing methodologies based on game theoretic learning theory, which do never require prior knowledge on uncertain environment. We then have presented another approach using distributed optimization on matrix manifolds in order to accelerate adaptability to environmental changes. In addition, a novel distributed target motion prediction algorithm has been proposed in the project. Moreover, we have built a testbed of the visual sensor network system and then have demonstrated all of the above algorithms. Also, a novel simulator of the sensor network system has been developed using a 3D animation software, called blender.
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Report
(4 results)
Research Products
(25 results)
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[Presentation] 分散最適化2016
Author(s)
畑中健志
Organizer
第3回計測自動制御学会制御部門マルチシンポジウム
Place of Presentation
名古屋市
Year and Date
2016-03-07
Related Report
Invited
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[Presentation] 分散最適化2015
Author(s)
畑中健志
Organizer
第58回自動制御連合講演会
Place of Presentation
神戸市
Year and Date
2015-11-14
Related Report
Invited
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