DocumentCode :
1660224
Title :
A PC-based orientation sensing using 9-DOF strapdown inertial measurement unit
Author :
Lim Chot Hun ; Lim Tien Sze ; Koo Voon Chet
Author_Institution :
Fac. of Eng. & Technol., Multimedia Univ., Ayer Keroh, Malaysia
fYear :
2012
Firstpage :
229
Lastpage :
234
Abstract :
This paper presents the design and development of a PC-based orientation sensing system using strapdown inertial measurement unit (SIMU). A 9-DOF (degree of freedom) SIMU, which consists of 3-DOF gyroscopes, 3-DOF accelerometers, and 3-DOF magnetometers, are used to estimate the orientation. Data fusion is performed to improve measurement accuracy. In this paper, the orientation measurements are compared and discussed using three different approaches, known as the conventional accelerometer/gyroscope approach, the Kalman filter based 9-DOF SIMU approach, and the gradient decent algorithm based 9-DOF SIMU approach. The derivation of each approach together with the design of the PC-based orientation sensing system is outlined in this paper.
Keywords :
Kalman filters; accelerometers; computerised instrumentation; gradient methods; gyroscopes; magnetometers; position measurement; sensor fusion; 3-DOF accelerometer; 3-DOF gyroscope; 3-DOF magnetometer; 9-DOF strapdown inertial measurement unit; 9-degree of freedom SIMU; Kalman filter; PC-based orientation sensing system; data fusion; gradient decent algorithm; measurement accuracy improvement; orientation measurement; Accelerometers; Equations; Gyroscopes; Kalman filters; Magnetic field measurement; Magnetometers; Position measurement; Accelerometer; Gyroscope; Inertial Measurement Unit; Magnetometer; Sensor Fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
Type :
conf
DOI :
10.1109/ICARCV.2012.6485163
Filename :
6485163
Link To Document :
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