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- W2187402224 abstract "Autonomous aerial docking for energy replenishment promises to unlock important unmanned aerial vehicle capabilities by extending range, time on target and reducing fuel usage by eliminating refueling stop-overs. The passive probe and drogue docking method has been used with manned aircraft for decades but requires accurate relative navigation for successful docking. To address this, we propose a drogue estimation framework that uses a derived system model, vehicle state information and air-to-air visual observations to estimate drogue position, motion and aerodynamic coefcients. Outdoor experiments demonstrate the infra-red vision system operating in real-time while high delity simulation veries the estimation framework and display graceful degradation in accuracy when visual information is unavailable." @default.
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- W2187402224 date "2014-01-01" @default.
- W2187402224 modified "2023-10-18" @default.
- W2187402224 title "Drogue motion estimation using air-to-air observations" @default.
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