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• W2243468574 abstract "This work tackles the problem of estimating the position of a marine mammal moving at the ocean surface by using an unmanned aerial vehicle equipped with a camera, a GPS receiver, and an attitude and heading reference system. Two Kalman filters—inserted on a multiple-model adaptive estimation framework—which use an unstable model for the target depending on an unknown parameter that must be identified (its angular speed) are proposed and compared with an extended Kalman filter." @default.
• W2243468574 created "2016-06-24" @default.
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• W2243468574 date "2015-10-01" @default.
• W2243468574 modified "2023-10-01" @default.
• W2243468574 title "Model-Based Filters for 3-D positioning of marine mammals using AHRS- and GPS-equipped UAVs" @default.
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• W2243468574 doi "https://doi.org/10.1109/taes.2015.140748" @default.
• W2243468574 hasPublicationYear "2015" @default.
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