Pose estimation by extended Kalman filter using noise covariance matrices based on sensor output

Pose estimation by extended Kalman filter using noise covariance matrices based on sensor output

Abstract This paper presents an extended Kalman filter for pose estimation using noise covariance matrices based on sensor output. Compact and lightweight nine-axis motion sensors are used for motion analysis in widely various fields such as medical welfare and sports. A nine-axis motion sensor incl...

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Bibliographic Details
Main Authors: Ayuko Saito, Satoru Kizawa, Yoshikazu Kobayashi, Kazuto Miyawaki
Format: Article
Language:English
Published: SpringerOpen 2020-10-01
Series:ROBOMECH Journal
Subjects:
Kalman filter
Motion sensor
Noise covariance matrix
Pose estimation
Sensor fusion
Online Access:http://link.springer.com/article/10.1186/s40648-020-00185-y

Internet

http://link.springer.com/article/10.1186/s40648-020-00185-y

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