ID | 53642 |
フルテキストURL | |
著者 |
Yamauchi, Genki
Graduate School of Engineering, Tohoku University
Nagatani, Keiji
Graduate School of Engineering, Tohoku University
Watanabe, Keigo
Department of Intelligent Mechanical Systems , Okayama University
Kaken ID
publons
researchmap
Yoshida, Kazuya
Graduate School of Engineering, Tohoku University
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抄録 | We propose a novel method for positioning a mobile robot in an outdoor environment using lasers and optical sensors. Position estimation via a noncontact optical method is useful because the information from the wheel odometer and the global positioning system in a mobile robot is unreliable in some situations. Contact optical sensors such as computer mouse are designed to be in contact with a surface and do not function well in strong ambient light conditions. To mitigate the challenges of an outdoor environment, we developed an optical device with a bandpass filter and a pipe to restrict solar light and to detect translation. The use of two devices enables sensing of the mobile robot’s position, including posture. Furthermore, employing a collimated laser beam allows measurements against a surface to be invariable with the distance to the surface. In this paper, we describe motion estimation, device configurations, and several tests for performance evaluation. We also present the experimental positioning results from a vehicle equipped with our optical device on an outdoor path. Finally, we discuss an improvement in postural accuracy by combining an optical device with precise gyroscopes.
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キーワード | mobile robot
position estimation
laser speckle pattern
optical sensor
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備考 | This is an Accepted Manuscript of an article published by Taylor & Francis in Advanced Robotics on 22 Jul 2013, available online: http://www.tandfonline.com/doi/full/10.1080/01691864.2013.819603
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発行日 | 2013-07-22
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出版物タイトル |
Advanced Robotics
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巻 | 27巻
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号 | 15号
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出版者 | Taylor and Francis
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開始ページ | 1147
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終了ページ | 1160
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ISSN | 0169-1864
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NCID | AA10679021
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資料タイプ |
学術雑誌論文
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オフィシャル URL | https://doi.org/10.1080/01691864.2013.819603
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言語 |
英語
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著作権者 | ©2013 Taylor & Francis
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論文のバージョン | author
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査読 |
有り
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DOI | |
Web of Science KeyUT |