• 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