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Vessel Freeboard Calculation Method Based on Laser Scanning

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Book cover Intelligent Data analysis and its Applications, Volume I

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 297))

Abstract

In the inland river shipping business, vessel freeboard value is considered as the primary standard to measure whether the ship is overloaded or not, so vessel freeboard calculation methods become an important topic to concern. This paper presents a vessel freeboard measurement scheme based on laser scanning technology, which can calculate the freeboard value with high accuracy by combining with K-MEANS clustering analysis and Hough transform. This method has been applied to the actual inland river shipping monitoring system and has gotten good performance.

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Author information

Authors and Affiliations

  1. Shenzhen Graduate School, Harbin Institute of Technology, Harbin, China

    Yingce Zhao, Guangming Lu, Xiaotang Guo & Yazhuo Wang

Authors
  1. Yingce Zhao
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  2. Guangming Lu
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  3. Xiaotang Guo
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  4. Yazhuo Wang
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Editor information

Editors and Affiliations

  1. National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Department of Computer Science Faculty of Elec. Eng. & Comp. Sci., VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Vaclav Snasel

  3. Departamento de Informáca y Automática, Facultad de Biología, University of Salamanca, Salamanca, Spain

    Emilio S. Corchado

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  5. Department of Information Management, National University of Kaohsiung, Kaohsiung, Taiwan

    Shyue-Liang Wang

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Zhao, Y., Lu, G., Guo, X., Wang, Y. (2014). Vessel Freeboard Calculation Method Based on Laser Scanning. In: Pan, JS., Snasel, V., Corchado, E., Abraham, A., Wang, SL. (eds) Intelligent Data analysis and its Applications, Volume I. Advances in Intelligent Systems and Computing, vol 297. Springer, Cham. https://doi.org/10.1007/978-3-319-07776-5_31

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  • DOI: https://doi.org/10.1007/978-3-319-07776-5_31

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07775-8

  • Online ISBN: 978-3-319-07776-5

  • eBook Packages: EngineeringEngineering (R0)

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