Descripción
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We present the design and implementation of a vision based autonomous landing algorithm using a downward looking camera. To demonstrate the efficacy of our algorithms we emulate the dynamics of the ship-deck, for various sea states and different ships using a 6DOF motion platform. We then present the design and implementation of our robust computer vision system to measure the pose of the shipdeck w.r.t to the vehicle. A Kalman filter is used in conjunction with our vision system to ensure the robustness of the estimates. We demonstrate the accuracy and robustness of our system to occlusions, variation in intensity, etc. using our testbed. | |
Internacional
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Si |
Nombre congreso
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AHS 69 Annual Forum 2013 |
Tipo de participación
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960 |
Lugar del congreso
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Phoenix, AZ (USA) |
Revisores
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Si |
ISBN o ISSN
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000-0-0000-0000-0 |
DOI
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Fecha inicio congreso
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21/05/2013 |
Fecha fin congreso
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23/05/2013 |
Desde la página
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1 |
Hasta la página
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10 |
Título de las actas
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Autonomous ship board landing of a VTOL UAV |