An adaptive kalman filter for three dimensional attitude tracking

Xiaoming Hu; Qin Li; Changyu He; Yue Liu

doi:10.1109/ISVRI.2011.5759620

An adaptive kalman filter for three dimensional attitude tracking

Xiaoming Hu^*, Qin Li, Changyu He, Yue Liu

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

An adaptive kalman filter for three dimensional attitude tracking is presented in this paper. Such filter can be used in the low cost system with only a triaxis accelerometer and a triaxis magnetometer where dynamic attitude tracking is needed. An adaptive kalman filter for three dimensional attitude tracking which dynamically updates the measurement variance according to the mode of acceleration is proposed. The proposed filter is implemented and evaluated on a homemade attitude tracking module. Experimental results show that this method can be used for low-cost real time human machine interface.

Original language	English
Title of host publication	ISVRI 2011 - IEEE International Symposium on Virtual Reality Innovations 2011, Proceedings
Pages	151-154
Number of pages	4
DOIs	https://doi.org/10.1109/ISVRI.2011.5759620
Publication status	Published - 2011
Event	IEEE International Symposium on Virtual Reality Innovations 2011, ISVRI 2011 - Singapore, Singapore Duration: 19 Mar 2011 → 20 Mar 2011

Publication series

Name	ISVRI 2011 - IEEE International Symposium on Virtual Reality Innovations 2011, Proceedings

Conference

Conference	IEEE International Symposium on Virtual Reality Innovations 2011, ISVRI 2011
Country/Territory	Singapore
City	Singapore
Period	19/03/11 → 20/03/11

Keywords

Attitude Determination
Human Machine Interface
Kalman filter

Access to Document

10.1109/ISVRI.2011.5759620

Cite this

Hu, X., Li, Q., He, C., & Liu, Y. (2011). An adaptive kalman filter for three dimensional attitude tracking. In ISVRI 2011 - IEEE International Symposium on Virtual Reality Innovations 2011, Proceedings (pp. 151-154). Article 5759620 (ISVRI 2011 - IEEE International Symposium on Virtual Reality Innovations 2011, Proceedings). https://doi.org/10.1109/ISVRI.2011.5759620

@inproceedings{a88d4cea8c7d44ff874f1aad8c4a4521,

title = "An adaptive kalman filter for three dimensional attitude tracking",

abstract = "An adaptive kalman filter for three dimensional attitude tracking is presented in this paper. Such filter can be used in the low cost system with only a triaxis accelerometer and a triaxis magnetometer where dynamic attitude tracking is needed. An adaptive kalman filter for three dimensional attitude tracking which dynamically updates the measurement variance according to the mode of acceleration is proposed. The proposed filter is implemented and evaluated on a homemade attitude tracking module. Experimental results show that this method can be used for low-cost real time human machine interface.",

keywords = "Attitude Determination, Human Machine Interface, Kalman filter",

author = "Xiaoming Hu and Qin Li and Changyu He and Yue Liu",

year = "2011",

doi = "10.1109/ISVRI.2011.5759620",

language = "English",

isbn = "9781457700538",

series = "ISVRI 2011 - IEEE International Symposium on Virtual Reality Innovations 2011, Proceedings",

pages = "151--154",

booktitle = "ISVRI 2011 - IEEE International Symposium on Virtual Reality Innovations 2011, Proceedings",

note = "IEEE International Symposium on Virtual Reality Innovations 2011, ISVRI 2011 ; Conference date: 19-03-2011 Through 20-03-2011",

}

Hu, X , Li, Q, He, C & Liu, Y 2011, An adaptive kalman filter for three dimensional attitude tracking. in ISVRI 2011 - IEEE International Symposium on Virtual Reality Innovations 2011, Proceedings., 5759620, ISVRI 2011 - IEEE International Symposium on Virtual Reality Innovations 2011, Proceedings, pp. 151-154, IEEE International Symposium on Virtual Reality Innovations 2011, ISVRI 2011, Singapore, Singapore, 19/03/11. https://doi.org/10.1109/ISVRI.2011.5759620

An adaptive kalman filter for three dimensional attitude tracking. / Hu, Xiaoming ; Li, Qin; He, Changyu et al.
ISVRI 2011 - IEEE International Symposium on Virtual Reality Innovations 2011, Proceedings. 2011. p. 151-154 5759620 (ISVRI 2011 - IEEE International Symposium on Virtual Reality Innovations 2011, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An adaptive kalman filter for three dimensional attitude tracking

AU - Hu, Xiaoming

AU - Li, Qin

AU - He, Changyu

AU - Liu, Yue

PY - 2011

Y1 - 2011

N2 - An adaptive kalman filter for three dimensional attitude tracking is presented in this paper. Such filter can be used in the low cost system with only a triaxis accelerometer and a triaxis magnetometer where dynamic attitude tracking is needed. An adaptive kalman filter for three dimensional attitude tracking which dynamically updates the measurement variance according to the mode of acceleration is proposed. The proposed filter is implemented and evaluated on a homemade attitude tracking module. Experimental results show that this method can be used for low-cost real time human machine interface.

AB - An adaptive kalman filter for three dimensional attitude tracking is presented in this paper. Such filter can be used in the low cost system with only a triaxis accelerometer and a triaxis magnetometer where dynamic attitude tracking is needed. An adaptive kalman filter for three dimensional attitude tracking which dynamically updates the measurement variance according to the mode of acceleration is proposed. The proposed filter is implemented and evaluated on a homemade attitude tracking module. Experimental results show that this method can be used for low-cost real time human machine interface.

KW - Attitude Determination

KW - Human Machine Interface

KW - Kalman filter

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U2 - 10.1109/ISVRI.2011.5759620

DO - 10.1109/ISVRI.2011.5759620

M3 - Conference contribution

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SN - 9781457700538

T3 - ISVRI 2011 - IEEE International Symposium on Virtual Reality Innovations 2011, Proceedings

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EP - 154

BT - ISVRI 2011 - IEEE International Symposium on Virtual Reality Innovations 2011, Proceedings

T2 - IEEE International Symposium on Virtual Reality Innovations 2011, ISVRI 2011

Y2 - 19 March 2011 through 20 March 2011

ER -

An adaptive kalman filter for three dimensional attitude tracking

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