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A Positioning System Based on Monocular Vision for Model Ship

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Computational Logistics (ICCL 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9335))

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Abstract

High precision positioning for a ship is important during logistics automation on water. This paper has proposed a positioning system of model ship based on monocular vision. Firstly an image of the experiment pool can be obtained by the camera on shore before the image is filtered and corrected in the preprocessing. Then the system uses binarization area and color threshold to identify a ship target. Finally ship real-time information which includes position, navigation speed and course can be obtained by transforming the image coordinate into the inertial coordinate, and the ship track will be displayed on the positioning software at the same time. Experimental results show that real-time and positioning precision of this system can meet automatic navigation demand for model ship.

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Author information

Authors and Affiliations

  1. Engineering Research Center for Transportation Safety, Ministry of Education, Wuhan University of Technology, Wuhan, People’s Republic of China

    Shuo Xie, Chenguang Liu, Xiumin Chu & Xue Ouyang

  2. School of Energy and Power Engineering, Wuhan University of Technology, Wuhan, People’s Republic of China

    Shuo Xie & Chenguang Liu

  3. School of Logistics Engineering, Wuhan University of Technology, Wuhan, People’s Republic of China

    Xue Ouyang

Authors
  1. Shuo Xie
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  2. Chenguang Liu
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  3. Xiumin Chu
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  4. Xue Ouyang
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Corresponding author

Correspondence to Chenguang Liu .

Editor information

Editors and Affiliations

  1. Delft University of Technology, Delft, The Netherlands

    Francesco Corman

  2. University of Hamburg, Hamburg, Germany

    Stefan Voß

  3. Delft University of Technology, Delft, The Netherlands

    Rudy R. Negenborn

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© 2015 Springer International Publishing Switzerland

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Xie, S., Liu, C., Chu, X., Ouyang, X. (2015). A Positioning System Based on Monocular Vision for Model Ship. In: Corman, F., Voß, S., Negenborn, R. (eds) Computational Logistics. ICCL 2015. Lecture Notes in Computer Science(), vol 9335. Springer, Cham. https://doi.org/10.1007/978-3-319-24264-4_15

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  • DOI: https://doi.org/10.1007/978-3-319-24264-4_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24263-7

  • Online ISBN: 978-3-319-24264-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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