• DocumentCode
    2287383
  • Title

    Allocating AUVs for Mine Map Development in MCM

  • Author

    Rajala, Andrew ; Edwards, Dean

  • Author_Institution
    Univ. of Idaho, Moscow
  • fYear
    2007
  • fDate
    16-19 May 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    When cooperating AUVs are used for large area MCM, it is important for each vehicle to have a map of the entire search area. If each AW only has a map of the area it has covered, that information will he lost if the vehicle is lost. To build a complete coverage map in each A UV, a scheduling algorithm, language, and logic were developed. The scheduling algorithm is an optimized fuzzy logic system that assigns the formations AUVs to inspect MLOs while keeping the formation together. The language was developed to communicate the information needed to build a map and deal with the limited bandwidth of underwater communication. The vehicle logic takes the communicated information and compiles it into a map. The fuzzy logic scheduling algorithm significantly improved how the formation allocated its resources and the map generated in each of the vehicles closely matched the actual map.
  • Keywords
    fuzzy control; military vehicles; remotely operated vehicles; scheduling; underwater vehicles; autonommous underwater vehicles; mine countermeasures; mine map development; optimized fuzzy logic system; scheduling algorithm; underwater communication; vehicle logic; Bandwidth; Communication system control; Crawlers; Fuzzy logic; Intelligent systems; Intelligent vehicles; Object detection; Remotely operated vehicles; Scheduling algorithm; Underwater communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS 2006 - Asia Pacific
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-0138-3
  • Electronic_ISBN
    978-1-4244-0138-3
  • Type

    conf

  • DOI
    10.1109/OCEANSAP.2006.4393895
  • Filename
    4393895