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Nonlinear Estimation of a Maneuvering Target with Bounded Acceleration using Multiple Mobile

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This paper proposes a cooperative nonlinear filter to estimate the states of a maneuvering target with unknown dynamics and bounded acceleration using multiple mobile sensors. The proposed filter is applied to a vision-based estimation task, in which multiple unmanned aerial vehicles equipped with monocular cameras are employed to estimate the position and velocity of a maneuvering target. Its performance is validated through extensive numerical simulations.

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Mingfeng Zhang

Field of Interest

“The field of interest shall be the organization, systems engineering, design, development, integration, and operation of complex systems for space, air, ocean, or ground environments. These systems include but are not limited to navigation, avionics, mobile electric power and electronics, radar, sonar, telemetry, military, law-enforcement, automatic test, simulators, and command and control."

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