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Attitude estimation using low cost accelerometer and gyroscope

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1 Author(s)
Young Soo Suh ; Sch. of Electr. Eng., Ulsan Univ., South Korea

This paper is concerned with one dimensional attitude estimation using low cost accelerometer and gyroscope. A gyroscope and an accelerometer have different noise characteristics. These two sensors are combined using the Kalman filter so that accurate attitude estimation is obtained. Experimental results are given to verify the proposed Kalman filter based estimation.

Published in:
Science and Technology, 2003. Proceedings KORUS 2003. The 7th Korea-Russia International Symposium on  (Volume:2 )

Date of Conference: 6-6 July 2003

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