• DocumentCode
    2377721
  • Title

    A nonlinear observer for 6 DOF pose estimation from inertial and bearing measurements

  • Author

    Baldwin, Grant ; Mahony, Robert ; Trumpf, Jochen

  • fYear
    2009
  • fDate
    12-17 May 2009
  • Firstpage
    2237
  • Lastpage
    2242
  • Abstract
    This paper considers the problem of estimating pose from inertial and bearing-only vision measurements. We present a non-linear observer that evolves directly on the special Euclidean group SE(3) from inertial measurements and bearing measurements, such as provided by a visual system tracking known landmarks. Local asymptotic convergence of the observer is proved. The observer is computationally simple and its gains are easy to tune. Simulation results demonstrate robustness to measurement noise and initial conditions.
  • Keywords
    nonlinear control systems; observers; position control; bearing measurements; inertial measurements; nonlinear observer; pose estimation; special Euclidean group; Computational modeling; Computer vision; Global Positioning System; Image reconstruction; Noise measurement; Noise robustness; Nonlinear equations; Observers; Sensor fusion; Velocity measurement; Bearing-Only; Inertial Vision; Non-linear Observer; Pose Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
  • Conference_Location
    Kobe
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-2788-8
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2009.5152242
  • Filename
    5152242