Least squares-based data fusion strategies and robotic applications

Richard O. Eason; Sei ichiro Kamata

Least squares-based data fusion strategies and robotic applications

研究成果: Conference article › 査読

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 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 5 → 1990 11 8

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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引用スタイル

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