DocumentCode :
3105320
Title :
Portable absolute orientation estimation device with wireless network under accelerated situation
Author :
Harada, Tatsuya ; Uchino, Hiroto ; Mori, Taketoshi ; Sato, Tomomasa
Author_Institution :
Tokyo Univ., Japan
Volume :
2
fYear :
2004
fDate :
April 26-May 1, 2004
Firstpage :
1412
Abstract :
In this paper, we develop an absolute orientation estimation device equipped with a wireless network. Accelerometers and magnetometers are used to measure the gravity and the geomagnetic field respectively. Gyroscope sensors are used to measure the local angular velocity. The geomagnetic field varies according to the environment. Therefore the device can obtain the information about the magnetic field through the wireless network. The orientation estimation task can be also requested to the other computers with the wireless network. By integrating the measured gravity and geomagnetic field with the local angular velocity using Sigma-Points Kalman Filters (SPKFs), the stability and the robustness of estimating the absolute orientation are improved over either sensor alone. We also propose an estimation method which excludes the effect of motion and magnetic disturbances for the accurate estimation.
Keywords :
Kalman filters; accelerometers; angular velocity measurement; geomagnetic variations; gravity; gyroscopes; magnetometers; motion estimation; wireless sensor networks; accelerometers; geomagnetic field measurement; gravity measurement; gyroscope sensors; local angular velocity measurement; magnetic disturbances; magnetometers; motion estimation; portable absolute orientation estimation device; sigma-points Kalman filters; wireless network; Acceleration; Angular velocity; Geomagnetism; Gravity; Magnetic field measurement; Magnetic sensors; Motion estimation; Robust stability; Velocity measurement; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
ISSN :
1050-4729
Print_ISBN :
0-7803-8232-3
Type :
conf
DOI :
10.1109/ROBOT.2004.1308022
Filename :
1308022
Link To Document :
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