• DocumentCode
    578251
  • Title

    A robust and optimal search tactic using multiple looks

  • Author

    Nguyen, Bao U. ; Bourque, François-Alex

  • Author_Institution
    Centre for Operational Res. & Anal., Defence Res. Dev. Canada, Ottawa, ON, Canada
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    4297
  • Lastpage
    4304
  • Abstract
    We provide an optimal strategy for an autonomous vehicle to detect a target in a mine hunting operation or in a search & rescue mission. We assume that the target exhibits mirror symmetry. By mirror symmetry, we mean that the left hand side of a target is the mirror image of the right hand side of the same target, and the probability of detection is maximal when a target is viewed at zero degree while that probability is minimal when viewed at ninety degrees and is monotonous between the maximum and the minimum. The optimal strategy consists of choosing n look angles to inspect a target such that the probability of detection is maximal. We use a novel combination of variational calculus, symmetry principles, number theory and algebra to determine analytically the optimal angles. The solutions will help the operators plan for an effective strategy in a generic search and detection operation. Such a strategy is robust as most targets of interest possess approximate mirror symmetry.
  • Keywords
    algebra; landmine detection; military vehicles; mobile robots; number theory; probability; variational techniques; algebra; autonomous vehicle; maximal detection probability; mine hunting operation; minimal detection probability; mirror symmetry; number theory; optimal angle determination; optimal search tactic; optimal strategy; search and rescue mission; symmetry principles; target detection; variational calculus; Calculus; Equations; Mirrors; Mobile robots; Robustness; Sensors; Vegetation; Autonomous vehicles; multiple looks; optimization; search & detection; sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6359202
  • Filename
    6359202