Estimation and guidance strategies for vision-based target tracking

Anthony J. Calise; Eric N. Johnson; Ramachandra Sattigeri; Yoko Watanabe; Venkatesh Madyastha

Estimation and guidance strategies for vision-based target tracking

Anthony J. Calise, Eric N. Johnson, Ramachandra Sattigeri, Yoko Watanabe, Venkatesh Madyastha

Aerospace Engineering

Research output: Contribution to journal › Conference article › peer-review

12 Scopus citations

Abstract

This paper discusses estimation and guidance strategies for vision-based target tracking. Specific applications include formation control of multiple unmanned aerial vehicles (UAVs) and air-to-air refueling. We assume that no information is communicated between the aircraft, and only passive 2-D vision information is available to maintain formation. To improve the robustness of the estimation process with respect to unknown target aircraft acceleration, the nonlinear estimator (EKF) is augmented with an adaptive neural network (NN). The guidance strategy involves augmenting the inverting solution of nonlinear line-of-sight (LOS) range kinematics with the output of an adaptive NN to compensate for target aircraft LOS velocity. Simulation results are presented that illustrate the various approaches.

Original language	English (US)
Pages (from-to)	5079-5084
Number of pages	6
Journal	Proceedings of the American Control Conference
Volume	7
State	Published - 2005
Event	2005 American Control Conference, ACC - Portland, OR, United States Duration: Jun 8 2005 → Jun 10 2005

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Cite this

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title = "Estimation and guidance strategies for vision-based target tracking",

abstract = "This paper discusses estimation and guidance strategies for vision-based target tracking. Specific applications include formation control of multiple unmanned aerial vehicles (UAVs) and air-to-air refueling. We assume that no information is communicated between the aircraft, and only passive 2-D vision information is available to maintain formation. To improve the robustness of the estimation process with respect to unknown target aircraft acceleration, the nonlinear estimator (EKF) is augmented with an adaptive neural network (NN). The guidance strategy involves augmenting the inverting solution of nonlinear line-of-sight (LOS) range kinematics with the output of an adaptive NN to compensate for target aircraft LOS velocity. Simulation results are presented that illustrate the various approaches.",

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note = "2005 American Control Conference, ACC ; Conference date: 08-06-2005 Through 10-06-2005",

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T1 - Estimation and guidance strategies for vision-based target tracking

AU - Calise, Anthony J.

AU - Johnson, Eric N.

AU - Sattigeri, Ramachandra

AU - Watanabe, Yoko

AU - Madyastha, Venkatesh

PY - 2005

Y1 - 2005

N2 - This paper discusses estimation and guidance strategies for vision-based target tracking. Specific applications include formation control of multiple unmanned aerial vehicles (UAVs) and air-to-air refueling. We assume that no information is communicated between the aircraft, and only passive 2-D vision information is available to maintain formation. To improve the robustness of the estimation process with respect to unknown target aircraft acceleration, the nonlinear estimator (EKF) is augmented with an adaptive neural network (NN). The guidance strategy involves augmenting the inverting solution of nonlinear line-of-sight (LOS) range kinematics with the output of an adaptive NN to compensate for target aircraft LOS velocity. Simulation results are presented that illustrate the various approaches.

AB - This paper discusses estimation and guidance strategies for vision-based target tracking. Specific applications include formation control of multiple unmanned aerial vehicles (UAVs) and air-to-air refueling. We assume that no information is communicated between the aircraft, and only passive 2-D vision information is available to maintain formation. To improve the robustness of the estimation process with respect to unknown target aircraft acceleration, the nonlinear estimator (EKF) is augmented with an adaptive neural network (NN). The guidance strategy involves augmenting the inverting solution of nonlinear line-of-sight (LOS) range kinematics with the output of an adaptive NN to compensate for target aircraft LOS velocity. Simulation results are presented that illustrate the various approaches.

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M3 - Conference article

AN - SCOPUS:23944488192

SN - 0743-1619

VL - 7

SP - 5079

EP - 5084

JO - Proceedings of the American Control Conference

JF - Proceedings of the American Control Conference

T2 - 2005 American Control Conference, ACC

Y2 - 8 June 2005 through 10 June 2005

ER -

Estimation and guidance strategies for vision-based target tracking

Abstract

All Science Journal Classification (ASJC) codes

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