Orientation Estimation for Sensor Motion Tracking Using Interacting Multiple Model Filter-Reference-Cited by-同舟云学术

Orientation Estimation for Sensor Motion Tracking Using Interacting Multiple Model Filter

Published:2010 Issue:8 Volume:E93-A Page:1565-1568
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

WANN Chin-Der¹,GAO Jian-Hau¹

Affiliation:

1. Department of Electrical Engineering, National Sun Yat-sen University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

http://www.jstage.jst.go.jp/article/transfun/E93.A/8/E93.A_8_1565/_pdf

Reference10 articles.

1. [1] X. Yun and E.R. Bachmann, “Design, implementation, and experimental results of a quaternion-based Kalman filter for human body motion tracking,” IEEE Trans. Robot., vol.22, no.6, pp.1216-1227, 2006.

2. Quaternion kinematic and dynamic differential equations

3. A Fast Quaternion-Based Orientation Optimizer via Virtual Rotation for Human Motion Tracking

4. [4] N. Metni, J.M. Pflimlin, T. Hamel, and P. Soueres, “Attitude and gyro bias estimation for a flying UAV,” Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp.1114-1120, 2005.

5. [5] J.B. Kuipers, Quaternions and Rotation Sequences, Princeton University Press, Princeton, NJ, 1999.

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