Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
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.
Rocznik
Tom
Strony
503--510
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
autor
- GMATEK, Inc., Annapolis, MD, USA
Bibliografia
- 1. Allianz 2012. Safety and Shipping 1912‐2012: From Titanic to Costs Concordia. Allianz Global Corporate & Specialty. March 2012. 3. www/agcs/allianz.com/PDFs/Reports.
- 2. CBI 2018. Digitizing the First Mile: Technology and Shipping. CBInsights. 2018. http://support.citrixonline.com/en_US/ Webinar
- 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).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-853d740b-854f-494a-a6e2-49bcf197a4cc