Hannah Kastein

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This paper presents a multi-AUV state-estimator that can determine the 3D position of a tagged fish. In addition to angle measurements, the state-estimator also incorporates distance and depth measurements. These additional sensor measurements allow for greater accuracy in the position estimates. A newly developed motion model that better accounts for(More)
Tracking fish has primarily been accomplished using acoustic telemetry. Typically, a fish is tagged, released, and manually tracked using hydrophones that detect acoustic tag transmissions. More recently, such hydrophone receiver systems have been mounted on Autonomous Underwater Vehicles (AUVs) to increase system mobility. This paper presents a new method(More)
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