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全方位カメラを搭載した複数台の移動ロボットの高速な自己位置同定
https://ipsj.ixsq.nii.ac.jp/records/52871
https://ipsj.ixsq.nii.ac.jp/records/52871ca3e21ae-c14c-4480-8cbf-54b3a51d1e2a
名前 / ファイル | ライセンス | アクション |
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Copyright (c) 2001 by the Information Processing Society of Japan
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オープンアクセス |
Item type | SIG Technical Reports(1) | |||||||
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公開日 | 2001-01-18 | |||||||
タイトル | ||||||||
タイトル | 全方位カメラを搭載した複数台の移動ロボットの高速な自己位置同定 | |||||||
タイトル | ||||||||
言語 | en | |||||||
タイトル | Fast Self - Localization Method for Mobile Robots Using Multiple Ominidirectional Vision Sensors | |||||||
言語 | ||||||||
言語 | jpn | |||||||
資源タイプ | ||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_18gh | |||||||
資源タイプ | technical report | |||||||
著者所属 | ||||||||
奈良先端大 | ||||||||
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奈良先端大 | ||||||||
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奈良先端大 | ||||||||
著者所属 | ||||||||
和歌山大 | ||||||||
著者所属(英) | ||||||||
en | ||||||||
NAIST | ||||||||
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en | ||||||||
NAIST | ||||||||
著者所属(英) | ||||||||
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NAIST | ||||||||
著者所属(英) | ||||||||
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Wakayama Univ. | ||||||||
著者名 |
中村, 恭之
× 中村, 恭之
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著者名(英) |
Takayuki, Nakamura
× Takayuki, Nakamura
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論文抄録 | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | In the multi-agent environment it is important to identify position and orientation of multiple robots for accomplishing a given task in cooperative manner. This paper proposes a method for estimating position and orientation of multiple robots using multiple omnidirectional images based on geometrical constraints. Our method reconstruct not only relative configuration between robots but also absolute one using the knowledge of landmarks in the environment. Even if there are some obstacles in the environment our method can estimate relative configuration between robots based on the results of self-localization of each robot. | |||||||
論文抄録(英) | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | In the multi-agent environment, it is important to identify position and orientation of multiple robots for accomplishing a given task in cooperative manner. This paper proposes a method for estimating position and orientation of multiple robots using multiple omnidirectional images based on geometrical constraints. Our method reconstruct not only relative configuration between robots but also absolute one using the knowledge of landmarks in the environment. Even if there are some obstacles in the environment, our method can estimate relative configuration between robots based on the results of self-localization of each robot. | |||||||
書誌レコードID | ||||||||
収録物識別子タイプ | NCID | |||||||
収録物識別子 | AA11131797 | |||||||
書誌情報 |
情報処理学会研究報告コンピュータビジョンとイメージメディア(CVIM) 巻 2001, 号 4(2000-CVIM-125), p. 133-138, 発行日 2001-01-18 |
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Notice | ||||||||
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. | ||||||||
出版者 | ||||||||
言語 | ja | |||||||
出版者 | 情報処理学会 |