• DocumentCode
    1173828
  • Title

    Forward model for sonar maps produced with the Polaroid ranging module

  • Author

    Kuc, Roman

  • Author_Institution
    Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
  • Volume
    19
  • Issue
    2
  • fYear
    2003
  • fDate
    4/1/2003 12:00:00 AM
  • Firstpage
    358
  • Lastpage
    362
  • Abstract
    Conventional Polaroid time-of-flight (TOF) sonars provide object range measurements, but their wide beam widths limit the object bearing accuracy. We describe a first-order model that predicts the TOF readings from an object at a given range, bearing, and reflecting strength produced by the Polaroid 6500 series sonar ranging module connected to a 600 series electrostatic transducer. The model provides a simple method for solving the inverse problem of estimating these object parameters from conventional TOF data. Experimental results are given to demonstrate the model performance. Our model provides a reasonable fit for main-lobe data observed for objects with reflecting strengths that vary by 25 dB. An example of an inverse problem solution demonstrates the model can improve object range and bearing measurements, and can also estimate the object reflecting strength, a landmark feature useful for robot navigation tasks.
  • Keywords
    inverse problems; mobile robots; navigation; object recognition; parameter estimation; sonar; Polaroid 6500 series sonar; inverse problem; landmark recognition; object bearing measurements; object parameter estimation; object range measurements; reflecting strength; robot navigation; sonar maps; sonar ranging module; time-of-flight values; Electrostatics; Inverse problems; Mobile robots; Object detection; Predictive models; Robot sensing systems; Sonar detection; Sonar measurements; Sonar navigation; Ultrasonic transducers;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/TRA.2003.809586
  • Filename
    1192165