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Real-Time Modeling of Ocean Currents for Navigating Underwater Glider Sensing Networks

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Cooperative Robots and Sensor Networks

Part of the book series: Studies in Computational Intelligence ((SCI,volume 507))

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Abstract

Ocean models that are able to provide accurate and real-time prediction of ocean currents will improve the performance of glider navigation. In this paper, we propose a novel approach to compute a model for ocean currents at higher resolution than existing approaches. By focusing on a small area and incorporating measurements from multiple gliders, we are able to perform real-time computation of the model, which can be used to improve performance of underwater glider navigation in the ocean. Our model uses a lower resolution, larger scale dataset generated from existing models to initialize the computation. We have also demonstrated incorporating data streams from high frequency (HF) radar measurements of surface currents. Glider navigation performance using the proposed ocean currents model is demonstrated in a simulated flow field based on data collected off the coast of Georgia, USA.

The research work is supported by ONR grants N00014-08-1-1007, N00014-09-1- 1074, and N00014-10-10712 (YIP), and NSF grants ECCS-0841195 (CAREER), CNS-0931576, ECCS-1056253, and OCE-1032285.

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Authors and Affiliations

  1. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA

    Dongsik Chang, Xiaolin Liang, Wencen Wu & Fumin Zhang

  2. Skidaway Institute of Oceanography, Savannah, GA, 31411, USA

    Catherine R. Edwards

Authors
  1. Dongsik Chang
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  2. Xiaolin Liang
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  3. Wencen Wu
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  4. Catherine R. Edwards
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  5. Fumin Zhang
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Correspondence to Dongsik Chang .

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Editors and Affiliations

  1. Prince Sultan University, Riyadh, Saudi Arabia

    Anis Koubâa

  2. CS Department DEEDS Group, TU Darmstadt, Darmstadt, Germany

    Abdelmajid Khelil

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Chang, D., Liang, X., Wu, W., Edwards, C.R., Zhang, F. (2014). Real-Time Modeling of Ocean Currents for Navigating Underwater Glider Sensing Networks. In: Koubâa, A., Khelil, A. (eds) Cooperative Robots and Sensor Networks. Studies in Computational Intelligence, vol 507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39301-3_4

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  • DOI: https://doi.org/10.1007/978-3-642-39301-3_4

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