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
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