• DocumentCode
    3308901
  • Title

    The ANN (assistant naval navigator) system

  • Author

    Rogers, C. David ; Hudak, J.J.

  • Author_Institution
    Collaborative Technol., Inc. (CTI), Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2012
  • fDate
    13-15 Nov. 2012
  • Firstpage
    266
  • Lastpage
    272
  • Abstract
    The recreational boating community has always been plagued with a high incidence of serious accidents that have resulted in loss of life, grave injuries and property loss. Our paper discusses a next generation system enterprise that will apply a knowledge/cybernetic approach that provides: 1) An automatic Proactive Warning for severe navigation threats to participating operators of recreational and small commercial boats, followed by, and after operator acknowledgement, 2) An advisory threat evasive course/action. From our analyses of several years of USCG boating accident statistics, we expect that the system will reduce fatalities and serious injuries by about 30%.
  • Keywords
    boats; injuries; marine accidents; marine engineering; marine safety; navigation; statistical analysis; ANN; USCG boating accident statistics; advisory threat evasive course/action; assistant naval navigator system; automatic proactive warning; commercial boat; fatalities; grave injuries; knowledge/cybernetic approach; navigation threat; next generation system enterprise; property loss; recreational boating community; Accidents; Artificial neural networks; Boats; Instruments; Navigation; Security; Servers; ANN System; Emergency Response Unit; Interfaces; Local and State Jurisdiction; Proactive Warning; Towboat US;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Homeland Security (HST), 2012 IEEE Conference on Technologies for
  • Conference_Location
    Waltham, MA
  • Print_ISBN
    978-1-4673-2708-4
  • Type

    conf

  • DOI
    10.1109/THS.2012.6459860
  • Filename
    6459860