• DocumentCode
    1092438
  • Title

    Three-dimensional visualization of mission planning and control for the NPS autonomous underwater vehicle

  • Author

    Zyda, Michael J. ; Mcghee, Robert B. ; Kwak, Sehung ; Nordman, Douglas B. ; Rogers, Ray C. ; Marco, David

  • Author_Institution
    Dept. of Comput. Sci., US Naval Postgraduate Sch., Monterey, CA, USA
  • Volume
    15
  • Issue
    3
  • fYear
    1990
  • fDate
    7/1/1990 12:00:00 AM
  • Firstpage
    217
  • Lastpage
    221
  • Abstract
    The Naval Postgraduate School (NPS) is constructing a small autonomous underwater vehicle (AUV) with an onboard mission control computer. The mission controller software for this vehicle is a knowledge-based artificial intelligence (AI) system requiring thorough analysis and testing before the AUV is operational. The manner in which rapid prototyping of this software has been demonstrated by developing a controller code on a LISP machine and using an Ethernet link with a graphics workstation to simulate the controller´s environment is discussed. The development of a testing simulator using a knowledge engineering environment (KEE) expert system shell that examines AUV controller subsystems and vehicle models before integrating them with the full AUV for its test environment missions is discussed. This AUV simulator utilizes an interactive mission planning control console and is fully autonomous once initial parameters are selected
  • Keywords
    automatic guided vehicles; computerised control; computerised navigation; digital simulation; engineering workstations; knowledge based systems; knowledge engineering; marine systems; military computing; military systems; naval engineering computing; 3D visualisation; Ethernet link; LISP machine; NPS autonomous underwater vehicle; expert system; graphics workstation; interactive mission planning control console; knowledge engineering environment; knowledge-based artificial intelligence; onboard mission control computer; prototyping; software; testing simulator; Artificial intelligence; Control systems; Intelligent vehicles; Remotely operated vehicles; Software prototyping; Software testing; System testing; Underwater vehicles; Virtual prototyping; Visualization;
  • fLanguage
    English
  • Journal_Title
    Oceanic Engineering, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0364-9059
  • Type

    jour

  • DOI
    10.1109/48.107150
  • Filename
    107150