• DocumentCode
    3755951
  • Title

    Algorithms for tracking with a foveal sensor

  • Author

    Gregory Spell;Douglas Cochran

  • Author_Institution
    Pratt School of Engineering, Duke University, Durham, NC 27708 USA
  • fYear
    2015
  • Firstpage
    1563
  • Lastpage
    1565
  • Abstract
    A foveal sensor employs a small region of high acuity surrounded by a periphery of lesser acuity. This paper describes an approach for managing such a sensor for tracking a single target. This approach seeks to adaptively position the high-acuity region of the sensor to keep it centered on the target. This scheme is incorporated into a Kalman filter, suitably modified to account for the nonlinearity and spatial agility of the sensor. It is evaluated using simulations in a two-dimensional target tracking scenario.
  • Keywords
    "Robot sensing systems","Target tracking","Kalman filters","Position measurement","Spatial resolution","Measurement uncertainty","Noise measurement"
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2015 49th Asilomar Conference on
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2015.7421409
  • Filename
    7421409