Least squares-based data fusion strategies and robotic applications

Richard O. Eason; Sei ichiro Kamata

Least squares-based data fusion strategies and robotic applications

Richard O. Eason^*, Sei ichiro Kamata

^*この研究の対応する著者

研究成果: Conference article › 査読

1 被引用数 (Scopus)

抄録

Many approaches to data fusion involve the use of least squares methods. Such methods are typically used for parameter estimation in applications such as pose estimation, motion analysis, shape estimation, and camera calibration. In this paper we describe the general least squares problem and some common solution methods, and overview its use in several robotic applications.

本文言語	English
ページ（範囲）	566-573
ページ数	8
ジャーナル	Proceedings of SPIE - The International Society for Optical Engineering
巻	1383
出版ステータス	Published - 1991 1月 1
外部発表	はい
イベント	Sensor Fusion III: 3-D Perception and Recognition - Boston, MA, USA 継続期間: 1990 11月 5 → 1990 11月 8

ASJC Scopus subject areas

電子材料、光学材料、および磁性材料
凝縮系物理学
コンピュータサイエンスの応用
応用数学
電子工学および電気工学

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引用スタイル

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title = "Least squares-based data fusion strategies and robotic applications",

abstract = "Many approaches to data fusion involve the use of least squares methods. Such methods are typically used for parameter estimation in applications such as pose estimation, motion analysis, shape estimation, and camera calibration. In this paper we describe the general least squares problem and some common solution methods, and overview its use in several robotic applications.",

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year = "1991",

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AU - Kamata, Sei ichiro

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AB - Many approaches to data fusion involve the use of least squares methods. Such methods are typically used for parameter estimation in applications such as pose estimation, motion analysis, shape estimation, and camera calibration. In this paper we describe the general least squares problem and some common solution methods, and overview its use in several robotic applications.

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M3 - Conference article

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JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

SN - 0277-786X

T2 - Sensor Fusion III: 3-D Perception and Recognition

Y2 - 5 November 1990 through 8 November 1990

ER -

Least squares-based data fusion strategies and robotic applications

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ASJC Scopus subject areas

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