Possibilities of autonomous means of sea transport

• Autorzy: Marek Idzior

Identyfikatory

DOI

10.17402/505

• Języki publikacji: EN

Abstrakty

EN

In recent years, there has been an intensification of work on the autonomy of means of transport, which also applies to ships. Modern ships are already equipped with crew decision support systems and numerous diagnostic systems. Increasingly more systems are installed on ships that can operate without human integration. This situation leads to the development and use of fully autonomous ships. This overview publication briefly describes the main features of the construction and operation of autonomous ships, including some examples of structures already demonstrated in recent years. In summary, the author presents comments that provide a contribution to the discussion on the autonomy of means of maritime transport.

Słowa kluczowe

EN

means of transport; autonomy; ships; fully autonomous ships; autonomous navigation system; sailing without a crew

• Wydawca: Wydawnictwo Naukowe Akademii Morskiej w Szczecinie
• Czasopismo: Zeszyty Naukowe Akademii Morskiej w Szczecinie
• Rocznik: 2022
• Tom: nr 70 (142)
• Strony: 20--26
• Opis fizyczny: Bibliogr. 14 poz., rys.

Twórcy

autor

Marek Idzior

• Poznan University of Technology 5 Marii Skłodowskiej-Curie Sq., 60-965 Poznań, Poland

• https://orcid.org/0000+0003+3398+7625

Bibliografia

• 1. Gabrys, B., Leiviska, K. & Strackeljan, J. (Eds) (2005) Do Smart Adaptive Systems Exist? Studies in Fuzziness and Soft Computing. Berlin, Heidelberg: Springer.
• 2. IMO (2016) Convention on the International Regulations for Preventing Collisions at Sea, 1972 (COLREGSs), consolidated edition 2001, amended in 2010, 2016.
• 3. IMO (2018a) Framework for the Regulatory Scoping Exercise for the Use of Maritime Autonomous Surface Ships (MASS). MSC 100/20/Add.1, Annex 2.
• 4. IMO (2018b) Autonomous Ships. View of the IMO Secretariat. [Online]. Available from: https://www.nmri.go.jp/study/ contribution/WS_on_MASS/(0)%20Autonomous%20 ships%20View%20of%20the%20IMO%20Secretariat.pdf [Accessed: May 15, 2020].
• 5. Kongsberg (2017) New Norwegian Autonomous Shipping Test-bed Opens. [Online] December 07. Available from: https://www.kongsberg.com/maritime/about-us/news-andmedia/news-archive/2017/new-norwegian-autonomousshipping-test-bed-opens/ [Accessed: May 15, 2020].
• 6. McAndrew, Ch. (2019) A Toy Plane led to Our Current Autonomous Systems. The Intersection of Technology, Innovation & Creativity. [Online] May 26. Available from: https:// now.northropgrumman.com/a-toy-plane-led-to-our-currentautonomous-systems/ [Accessed: May 15, 2020].
• 7. Offshore Energy (2018) World’s 1st Intelligent Very Large Ore Carrier Is Here. [Online] November 29. Available from: https://www.offshore-energy.biz/worlds-1st-intelligentvery-large-ore-carrier-is-here/ [Accessed: May 15, 2020].
• 8. Pepliński, H. (2019) Ship and Mobile Offshore Unit Automation. A Practical Guide. Cambridge MA: Elsevier, Gulf Professional Publishing.
• 9. Porathe, T. (2016) A Navigating Navigator Onboard or a Monitoring Operator Ashore? Towards Safe, Effective, and Sustainable Maritime Transportation: Findings from Five Recent EU Projects. Transportation Research Procedia 14, pp. 233–342, doi: org/10.1016/j.trpro.2016.05.060.
• 10. Rødseth, Ø.J., Nordahl, H. & Hoem, Å. (2018) Characterization of Autonomy in Merchant Ships. 2018 OCEANS – MTS/IEEE Kobe Techno-Oceans (OTO), Kobe, Japan, doi: 10.1109/OCEANSKOBE.2018.8559061.
• 11. Schwithal, A., Tonhäuser, C, Wolkow, S., Angermann, M., Hecker, P., Mumm, N. & Holzapfel, F. (2017) Integrity Monitoring in GNSS/INS Systems by Optical Augmentation. 2017 DGON Inertial Sensors and Systems (ISS), Karlsruhe, Germany, doi: 10.1109/InertialSensors,2017.8171506.
• 12. Wright, R.G. (2019) Intelligent Autonomous Ship Navigation using Multi-Sensor Modalities. TransNav 13 (3), pp. 503–510, doi: org/10.12716/1001.13.03.03.
• 13. Wróbel, K., Krata, P. & Montewka, J. (2019) Preliminary Results of a System-theoretic Assessment of Maritime Autonomous Surface Ships’ Safety. TransNav 13 (4), pp. 717– 723, doi: org/10.12716/1001.13.04.03.
• 14. Zhang, X., Wang, C., Liu, Y. & Chen, X. (2019) Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning. Sensors 19 (18), 4055, doi: org/10.3390/s19184055.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu „Społeczna odpowiedzialność nauki” - moduł: Popularyzacja nauki i promocja sportu (2022-2023).