Unscented Kalman filter for position estimation of UAV by using image information
In this paper, the position estimation problem is solved by using unscented Kalman filter with observation uncertainty’s compensations. These observation uncertainties causing the estimation become inaccurate in position estimate problem. Visual observation is difficult for an unmanned aerial vehicl...
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| 主要な著者: | , , , , |
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| フォーマット: | Conference or Workshop Item |
| 出版事項: |
2015
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/id/eprint/61326/ http://www.ieee-ras.org/component/rseventspro/event/573-sice-2015-54th-annual-conference-of-the-society-of-instrument-and-control-engineers-of-japan |
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