Robust Nonlinear Fusion of Inertial and Visual Data for position, velocity and attitude estimation of UAV
This paper presents a coupled observer that uses accelerometer, gyrometer and vision sensors to provide estimates of pose and linear velocity for an aerial robotic vehicle. The observer is based on a non-linear complimentary filter framework and incorporates adaptive estimates of measurement bias in gyrometers and accelerometers commonly encountered in low-cost inertial measurement systems. Asymptotic stability of the observer estimates is proved as well as bounded energy of the observer error...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of ICRA '07|
|01_Cheviron_Robust_Nonlinear_Fusion_of_2007.pdf||955 kB||Adobe PDF||Request a copy|
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