Intelligent autonomous ship navigation using multi-sensor modalities

• Autorzy: Wright R.G.

Identyfikatory

DOI

10.12716/1001.13.03.03

• Języki publikacji: EN

Abstrakty

EN

This paper explores the use of machine learning and deep learning artificial intelligence (AI) techniques as a means to integrate multiple sensor modalities into a cohesive approach to navigation for autonomous ships. Considered is the case of a fully autonomous ship capable of making decisions and determining actions by itself without active supervision on the part of onboard crew or remote human operators. These techniques, when combined with advanced sensor capabilities, have been touted as a means to overcome existing technical and human limitations as unmanned and autonomous ships become operational presently and in upcoming years. Promises of the extraordinary capabilities of these technologies that may even exceed those of crewmembers for decision making under comparable conditions must be tempered with realistic expectations as to their ultimate technical potential, their use in the maritime domain, vulnerabilities that may preclude their safe operation; and methods for development, integration and test. The results of research performed by the author in specific applications of machine learning and AI to shipping are presented citing key factors that must be achieved for certification of these technologies as being suitable for their intended purpose. Recommendations are made for strategies to surmount present limitations in the development, evaluation and deployment of intelligent maritime systems that may accommodate future technological advances. Lessons learned that may be applied to improve safety of navigation for conventional shipping are also provided.

Słowa kluczowe

EN

maritime autonomous surface ships (MASS); artificial intelligence (AI); intelligent autonomous ship navigation; autonomous ship; autonomous ships navigation; multiSensor modalities; unmanned ship; maritime domain awareness (MDA)

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2019
• Tom: Vol. 13, no. 3
• Strony: 503--510
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Wright R.G.

• GMATEK, Inc., Annapolis, MD, USA 

Bibliografia

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• 3. COLREGS Rule 5. International Regulations for Preventing  Collisions at Sea. 1972. Rule 5 Look‐out
• 4. COLREGS Rule 7. Ibid. Rule 7 Risk of collision, (b) and (c). 
• 5. FarSounder  2018.  FarSounder  Joins  NOAA  as  a  Trusted  Node.  Press  Release.  October  17,  2018.  www/farsounder.com/ about/press_releases. 
• 6. gCaptain  2017.  Connected  at  Sea:  Inmarsat’s  New  HighSpeed  Broadband  Service  Hits  10,000‐Ship  Milestone.  May  4,  2017,  http://gcaptain.com/fleet‐xpress‐exceeds10000‐ship‐milestone‐first‐anniversary
• 7. IALA  2014.  IALA  International  Dictionary  of  Aids  to  Marine Navigation, cited in IALA NAVGUIDE Aids to  Navigation Manual. 2014. Seventh Edition. 30
• 8. IMO  2015.  Third  International  Maritime  Organization  Greenhouse Gas Study. Section 3: Scenarios for shipping  emissions 2012‐2050. 18. 
• 9. Minter  2017.  Adam  Minter.  Autonomous  Ships  Will  Be  Great.  Bloomberg.  May  16,  2017.  https://wwwbloomberg.com/  opinion/articles/2017‐0516/autonomous‐ships‐will‐be‐great. 
• 10. MSC  98/20/2.  Work  Programme.  Maritime  Autonomous  Surface  Ships  Proposal  for  a  Regulatory  Scoping  Exercise.  Regulatory Scoping Exercise for the Use of  Maritime  Autonomous  Surface  Ships  (MASS).  MSC  98/20/2. 27 February 2017. 
• 11. NOAA 12282. Chesapeake Bay, Severn and Magothy Rivers.  NOAA Chart 12282
• 12. Satnews 2018. Euroconsult Report Focuses on Satellites to  be Built and Launched by 2027. Satnews Daily. January  26,  2019.  http://satnews.com/story.php?number=2091711277
• 13. Stewart 2018. Stewart, J. paraphrase, Rolls Royce wants to  Fill the Seas with Self‐Sailing Ships. Wired. 15 October  2018.  https://www.wired.com/story/rolls‐royceautonomous‐ship/.
• 14. UNOOSA 2018. Annual Report 2017. United Nations Office  for Outer Space Affairs. Vienna. March 2018. 5.
• 15. Wright 2017. Scientific Data Acquisition using Navigation  Sonar.  IEEE/MTS  Oceans  Conf.  Anchorage  AK.  Sept.  2017.
• 16. Wright 2018. Signals Intelligence Automated Assessment of  Test Capabilities. IEEE Automatic Testing Conference.  Washington, DC. September 2018.
• 17. Wright and Baldauf, 2016. Wright, R. Glenn and Baldauf,  Michael.  Virtual  Electronic  Aids  to  Navigation  for  Remote and Ecologically Sensitive Regions. The Journal  of Navigation. The Royal Institute of Navigation 2016.  doi:10.1017/ S0373463316000527. 
• 18. Wright and Baldauf. 2016a. Wright, R. Glenn and Baldauf,  Michael. Correlation of Virtual Aids to Navigation to the  Physical  Environment. TransNav,  the  International  Journal  on  Marine  Navigation  and  Safety  of  Sea  Transportation. Vol. 10, No. 2, 2016
• 19. Wright and Baldauf. 2016b. Wright, R. Glenn and Baldauf,  Michael.  Hydrographic  Survey in Remote Regions: Using  Vessels  of  Opportunity  Equipped  with  3‐dimensional  Forward‐Looking Sonar. Journal of Marine Geodesy. Vol.  39. No. 6. DOI 10.1080/01490419. 2016.1245266. 339‐357
• 20. Wright and Russell. 2017. Wright R. Glenn and Ian Russell.  Navigation  Sonar  use  in  Maritime  Frontier  Exploration.  Soundings. Hydrograph. Soc. of the UK. Sum. 2017. 3336

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).