• DocumentCode
    3397681
  • Title

    Stochastic Line Search Using UUVs

  • Author

    Sodh, Manbir ; Swaszek, Peter ; Bovio, Edoardo

  • Author_Institution
    NATO Undersea Res. Center, La Spezia
  • fYear
    2006
  • fDate
    10-13 July 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Unmanned underwater vehicles (UUVs) are increasingly being used in a diverse range of applications. In one particular application, we analyze UUV operations for location, detection and classification of mines. The mission objective is to search the area of interest, using underwater imaging sensors such as side scan sonars, until either the first mine is located, or it is verified that none can be found. Communication constraints require that the vehicle be connected with physically for downloads. In such as scenario, the search area can be considered as a line, and prior probabilities of finding a mine on the line can be related to external considerations such as the bottom characteristics, etc. The optimization problem is the determination of a sequence of points on the line where the UUV should be configured to return for a data download, so as to minimize the expected mission time. Operational models are defined and analytical expressions and numerical results describe the optimal strategies for searching with several distributions and return point specifications
  • Keywords
    image sensors; remotely operated vehicles; search problems; stochastic processes; underwater acoustic communication; underwater vehicles; UUV; mine classification; mine detection; mine location; prior probability; stochastic line search; underwater imaging sensors; unmanned underwater vehicle; Acoustic sensors; Acoustic signal detection; Base stations; Embedded computing; Remotely operated vehicles; Sonar; Stochastic processes; Underwater acoustics; Underwater vehicles; Virtual colonoscopy; UUV Operations; resource allocation; stochastic search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2006 9th International Conference on
  • Conference_Location
    Florence
  • Print_ISBN
    1-4244-0953-5
  • Electronic_ISBN
    0-9721844-6-5
  • Type

    conf

  • DOI
    10.1109/ICIF.2006.301784
  • Filename
    4086070