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Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA
Published on: October 31, 2011
Jian Li1,2, Mingyu Gu1, Tianlong Zhu1
1College of Internet of Things Engineering, Hohai University, Changzhou 213001, China.
Accurate underwater navigation relies on integrated systems like Strapdown Inertial Navigation System (SINS) and Doppler Velocity Log (DVL). This study focuses on correcting DVL errors within SINS/DVL systems to improve underwater positioning accuracy.
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