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Underwater Vehicle Localization with Complementary Filter: Performance Analysis in the Shallow Water Environment

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Abstract

Rapid development of underwater technology during the last two decades yielded more affordable sensors and underwater vehicles, and, as a result, expanded their use from exclusively offshore industry towards smaller interdisciplinary research groups. Regardless of application, knowing the location of the vehicle operating underwater is crucial. Relatively inexpensive solution is sensor fusion based on a dynamic model of the vehicle aided by a Doppler Velocity Log and a Ultra-Short Base Line position system. Raw data from the sensors are highly asynchronous and susceptible to outliers, especially in shallow water environment. This paper presents detailed sensor analysis based on experimental data gathered in shallow waters, identifies outliers, presents an intuitive and simple sensor fusion algorithm and finally, discusses outlier rejection. The approach has been experimentally verified on medium size remotely operated vehicle.

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Authors and Affiliations

  1. Faculty of Electrical Engineering and Computing, Department of Control and Computer Engineering, Laboratory for Underwater Systems and Technologies, University of Zagreb, Unska 3, 10000, Zagreb, Croatia

    Antonio Vasilijevic, Bruno Borovic & Zoran Vukic

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  1. Antonio Vasilijevic
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  2. Bruno Borovic
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  3. Zoran Vukic
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Correspondence to Bruno Borovic.

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Vasilijevic, A., Borovic, B. & Vukic, Z. Underwater Vehicle Localization with Complementary Filter: Performance Analysis in the Shallow Water Environment. J Intell Robot Syst 68, 373–386 (2012). https://doi.org/10.1007/s10846-012-9766-6

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  • DOI: https://doi.org/10.1007/s10846-012-9766-6

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