Attitude observability of a loosely-coupled GPS/Visual Odometry Integrated Navigation Filter
Dusha, Damien & Mejias, Luis (2010) Attitude observability of a loosely-coupled GPS/Visual Odometry Integrated Navigation Filter. In Australasian Conference on Robotics and Automation (ACRA 2010), 1-3 December 2010, Brisbane, Queensland.
We present a novel method for integrating GPS position estimates with position and attitude estimates derived from visual odometry using a scheme similar to a classic loosely-coupled GPS/INS integration. Under such an arrangement, we derive the error dynamics of the system and develop a Kalman Filter for estimating the errors in position and attitude. Using a control-based approach to observability, we show that the errors in both position and attitude (including yaw) are fully observable when there is a component of acceleration perpendicular to the velocity vector in the navigation frame. Numerical simulations are performed to confirm the observability analysis.
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|Item Type:||Conference Paper|
|Keywords:||GPS, Visual Odometry, Egomotion, Integrated Navigation, Observability|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)|
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Control Systems Robotics and Automation (090602)
|Divisions:||Current > Research Centres > Australian Research Centre for Aerospace Automation|
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
|Copyright Owner:||Copyright 2010 Please consult the authors.|
|Deposited On:||03 Dec 2010 09:27|
|Last Modified:||01 Mar 2012 00:27|
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