TY - JOUR
T1 - Active control of visual sensor for navigation and guidance
AU - Cao, Chengyu
AU - Hovakimyan, Naira
AU - Evers, Johnny
N1 - Funding Information:
Acknowledgments This material is based upon work supported by the United States Air Force under Contract No. FA9550-05-1-0157 and Multidisciplinary University Research Initiative subcontract No. F49620-03-1-0401.
PY - 2010/1
Y1 - 2010/1
N2 - This paper addresses the problem of on-board estimation of the state and/or the velocity components of an unknown leader by open-loop control of a single camera installed on the follower aircraft. Unlike the conventional pan-tilt gimbal rigidly mounted onboard, a custom-built stabilized platform can allow for an additional translational degree of freedom to the existing pan-tilt capability. The only information about the unknown leader is deduced from its bearing and subtended angles in the image plane of the camera. An adaptive estimation algorithm is applied to estimate the state vector and the geometric parameters of the unknown object from visual measurements outside the flight control loop of the follower aircraft. Asymptotic convergence of the estimated parameters to the true ones is proven and shown to be independent of the flight controller. The estimated parameters can be used in the guidance law of the follower aircraft without any modifications to it. The main benefit of the proposed paradigm is in this decoupling of estimation from control.
AB - This paper addresses the problem of on-board estimation of the state and/or the velocity components of an unknown leader by open-loop control of a single camera installed on the follower aircraft. Unlike the conventional pan-tilt gimbal rigidly mounted onboard, a custom-built stabilized platform can allow for an additional translational degree of freedom to the existing pan-tilt capability. The only information about the unknown leader is deduced from its bearing and subtended angles in the image plane of the camera. An adaptive estimation algorithm is applied to estimate the state vector and the geometric parameters of the unknown object from visual measurements outside the flight control loop of the follower aircraft. Asymptotic convergence of the estimated parameters to the true ones is proven and shown to be independent of the flight controller. The estimated parameters can be used in the guidance law of the follower aircraft without any modifications to it. The main benefit of the proposed paradigm is in this decoupling of estimation from control.
KW - Active adaptive estimation
KW - Vision-based guidance
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U2 - 10.1007/s10287-008-0077-0
DO - 10.1007/s10287-008-0077-0
M3 - Article
AN - SCOPUS:72349083910
VL - 7
SP - 85
EP - 110
JO - Computational Management Science
JF - Computational Management Science
SN - 1619-697X
IS - 1
ER -