Abstract
In ocean bathymetry, the instantaneous depth measured by survey ships or by unmanned surface vehicles (USVs) cannot be directly taken as the chart depth because of the effect of waves and the tide. A novel ocean bathymetry technology is proposed based on the USV, the aim is to evaluate the potential of the USV using a real-time kinematic (RTK) and a single beam echo sounder for ocean bathymetry. First, using the RTK height of the USV with centimeter-level precision, the height of the sea level is obtained by excluding wave information using a low pass filter. Second, the datum distance between the reference ellipsoid and the chart depth is obtained by a novel method using tide tables and the height of the sea level from the USV. Previous work has usually achieved this using long-term tidal observation from traditional investigations. Finally, the chart depth is calculated using the transformation between the instantaneous depth of the USV measurement and the datum of the chart depth. Experiments were performed around the Wuzhizhou Island in Hainan Province using the unmanned surface bathymetry vehicle to validate the proposed technology. The successful results indicate the potential of the bathymetry technology based on the USV.
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References
Annamalai A S K, Sutton R, Yang Chengguang, et al. 2015. Robust adaptive control of an uninhabited surface vehicle. Journal of Intelligent & Robotic Systems, 78(2): 319–338
Apel H, Hung N G, Thoss H, et al. 2012. GPS buoys for stage monitoring of large rivers. Journal of Hydrology, 412: 182–192
Bibuli M, Bruzzone G, Caccia M, et al. 2014. Unmanned surface vehicles for automatic bathymetry mapping and shores’ maintenance. In: Proceedings of 2014 MTS/IEEE Oceans Conference. Piscataway, New Jersey: IEEE Press, 1–7
Brown H C, Jenkins L K, Meadows G A, et al. 2010. BathyBoat: an autonomous surface vessel for stand-alone survey and underwater vehicle network supervision. Marine Technology Society Journal, 44(4): 20–29
Bruzzone G, Bibuli M, Caccia M. 2011. Improving coastal operations with unmanned surface vehicles. Sea Technology, 52(7): 46–49
Hostache R, Matgen P, Giustarini L, et al. 2015. A drifting GPS buoy for retrieving effective riverbed bathymetry. Journal of Hydrology, 520: 397–406
Jin Jiucai, Zhang Jie, Ma Yi, et al. 2013. Analysis for unmanned surface bathymetric vehicle’s spatial-temporal sampling character and equal distance parallel formation control. International Journal of Advanced Robotic Systems, 10(7): 285: 1–6
Jin Jiucai, Zhang Jie, Shao Feng. 2015. Modelling, manoeuvring analysis and course following for two unmanned surface vehicles driven by a single propeller and double propellers. In: Proceedings of 27th Chinese Control and Decision Conference. Piscataway, New Jersey: IEEE Press, 4952–4957
Jin Jiucai, Zhang Jie, Shao Feng, et al. 2016. Active and passive underwater acoustic applications using an unmanned surface vehicle. In: Proceedings of 2016 MTS/IEEE Oceans Conference. Piscataway, New Jersey: IEEE Press, 1–6
Kebkal K G, Kebkal O G, Glushko I, et al. 2014. SONOBOT —an autonomous unmanned surface vehicle for hydrographic surveys, hydroacoustic communication and positioning in tasks of underwater acoustic surveillance and monitoring. In: Proceedings of 2nd International Conference and Exhibition on Underwater Acoustics. Tokyo: Marine Acoustics Society of Japan, 221–222
Liu Zhixiang, Zhang Youmin, Yu Xiang, et al. 2016. Unmanned surface vehicles: an overview of developments and challenges. Annual Reviews in Control, 41: 71–93
Lü Zhichao, Zhang Jie, Jin Jiucai, et al. 2016. Link strength for unmanned surface vehicle’s underwater acoustic communication. In: Proceeding of 2016 IEEE/OES China Ocean Acoustics Symposium. Piscataway, New Jersey: IEEE Press, 1–4
Manley J E, Marsh A, Cornforth W, et al. 2000. Evolution of the autonomous surface craft AutoCat. In: Proceedings of 2000 MTS/IEEE OCEANS Conference. Providence. IEEE Press, 403–408
Rodriguez-Ortiz C D. 1996. Automated bathymetry mapping using an autonomous surface craft [dissertation]. Massachusetts: Massachusetts Institute of Technology
Seto M L, Crawford A. 2015. Autonomous shallow water bathymetric measurements for environmental assessment and safe navigation using USVs. In: Proceedings of 2015 MTS/IEEE Oceans Conference. Piscataway, New Jersey: IEEE Press, 1–5
Shojaei K. 2015. Neural adaptive robust control of underactuated marine surface vehicles with input saturation. Applied Ocean Research, 53: 267–278
Vries J J D. 2007. Designing a GPS-based mini wave buoy. International Ocean Systems, 11(3): 20–23
Zhu Jing, Wang Jianhua, Zheng Tiqiang, et al. 2016. Straight path following of unmanned surface vehicle under flow disturbance. In: Proceedings of 2016 MTS/IEEE Oceans Conference. Piscataway, New Jersey: IEEE Press, 1–7
Acknowledgements
The authors thank Ma Yi and Liang Jian from The First Institute of Oceanography, State Oceanic Administration of China for CORS GPS technology support and assistance with experiments.
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Foundation item: The National Key Research and Development Program of China under contract No. 2017YFC1405203; the National Natural Science Foundation of China under contract No. 61401111; the Public Science and Technology Research Funds Projects of Ocean of China under contract No. 201505005-2.
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Jin, J., Zhang, J., Shao, F. et al. A novel ocean bathymetry technology based on an unmanned surface vehicle. Acta Oceanol. Sin. 37, 99–106 (2018). https://doi.org/10.1007/s13131-018-1269-2
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DOI: https://doi.org/10.1007/s13131-018-1269-2