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Evaluation of visual image for remotely controlled ship

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Abstract

In recent years, automation technology for navigation support is widely accepted not only in the automotive industry but also in the maritime industry. Particularly, the research related to autonomous and remotely controlled ships has become the major topic in the maritime field. At Tokyo University of Marine Science and Technology (TUMSAT), the research for the operation of remotely controlled ships has been started since 2015. In this paper, we report the results of experiments on the image evaluation method required for the remote-control system using wireless communication. The remote-control system is required to install sensors that replace merchant marines’ visual, hearing and other means in manned ship. The camera image is a substitutable method for the merchant marines’ vision and is thought to be one of the most necessary information for the operator of the land station who carries out remote ship maneuvering.

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References

  1. 1.

    Japan Coast Guard (2018) Heisei 29 year marine accident present condition and measures, p 8. https://www6.kaiho.mlit.go.jp/info/keihatsu/20180314_state_measure29.pdf. Accessed 1 Jan 2020

  2. 2.

    MUNIN project. Final report summary. https://cordis.europa.eu/result/rcn/181600_en.html. Accessed 16 May 2019

  3. 3.

    Remote and Autonomous Ships. The next steps. https://www.rolls-royce.com/~/media/Files/R/Rolls-Royce/documents/customers/marine/ship-intel/aawa-whitepaper-210616.pdf. Accessed 22 Jan 2020

  4. 4.

    Autonomous Ship Project. Key facts about YARA Birkeland. https://www.km.kongsberg.com/ks/web/nokbg0240.nsf/AllWeb/4B8113B707A50A4FC125811D00407045?OpenDocument. Accessed 16 May 2019

  5. 5.

    IMO, MSC 98th (2018) Scoping exercise on autonomous vessel put on agenda. http://www.imo.org/en/MediaCentre/MeetingSummaries/MSC/Pages/MSC-98th-session.aspx. Accessed 22 Jan 2020

  6. 6.

    Umeda A, Shimizu E, Minami K, Miyoshi T (2018) Countermeasures for legal issues to realize autonomous shipping. Transaction of the JSME, Tokyo, p 6

  7. 7.

    IMO (2018) IMO takes first steps to address autonomous ships. http://www.imo.org/en/MediaCentre/PressBriefings/Pages/08-MSC-99-MASS-scoping.aspx. Accessed 25 May 2018

  8. 8.

    Bureau Veritas, MSC99 (2018) Major outcomes of the 99th session of the IMO Maritime Safety (MSC), p 6. http://www.bureauveritas.jp/news/pdf/Report_the_99th_MSC.pdf. Accessed 25 May 2018

  9. 9.

    Bureau Veritas (2017) Guidelines for autonomous shipping. https://www.bureauveritas.jp/news/pdf/641-NI_2017-12.pdf. Accessed 22 Jan 2020

  10. 10.

    ISO 8596 (2017) 3.3.1. https://www.iso.org/obp/ui/#iso:std:iso:8596:ed-3:v1:en. Accessed 22 Jan 2020

  11. 11.

    PDF data of the simple visual acuity test chart (5 m) (in Japanese). https://sizeblog.net/entry/372/. Accessed 22 Jan 2020

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Author information

Correspondence to Ai Hoshino.

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The original version of this article was revised due to open access cancellation request.

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Hoshino, A., Umeda, A., Nishina, T. et al. Evaluation of visual image for remotely controlled ship. Artif Life Robotics (2020). https://doi.org/10.1007/s10015-020-00584-9

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Keywords

  • Remotely controlled ship
  • Battery-powered boat
  • Wi-Fi
  • Bit rate
  • Image resolution