Least squares-based data fusion strategies and robotic applications

Richard O. Eason, Sei ichiro Kamata

Research output: Contribution to journalConference article

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.

Original languageEnglish
Pages (from-to)566-573
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume1383
Publication statusPublished - 1991 Jan 1
Externally publishedYes
EventSensor Fusion III: 3-D Perception and Recognition - Boston, MA, USA
Duration: 1990 Nov 51990 Nov 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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