• DocumentCode
    2329927
  • Title

    An optimal sonar array for target localization and classification

  • Author

    Kleeman, Lindsay ; Kuc, Roman

  • Author_Institution
    Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia
  • fYear
    1994
  • fDate
    8-13 May 1994
  • Firstpage
    3130
  • Abstract
    A novel sonar array for mobile robots is presented with applications to localization and mapping of indoor environments. The ultrasonic sensor localizes and classifies multiple targets in two dimensions to ranges of up to 8 meters. By accounting for effects of temperature and humidity, the system is accurate to within 1 mm and 6.1 degrees in still air. Targets separated by 10 mm can be discriminated. Targets are classified into planes, corners, edges and unknown, with the minimum of two transmitters and two receivers. A novel approach is that receivers are closely spaced to minimize the correspondence problem of associating echoes from multiple targets. A set of templates is generated for echoes to allow the optimal arrival time to be estimated, and overlapping echoes and disturbances to be rejected
  • Keywords
    acoustic arrays; acoustic imaging; mobile robots; pattern recognition; sonar; ultrasonic transducers; corners; correspondence problem; echoes; edges; indoor environments; mapping; mobile robots; multiple targets; optimal arrival time; optimal sonar array; planes; target classification; target localization; ultrasonic sensor; Intelligent robots; Intelligent sensors; Leg; Pulse measurements; Robot localization; Rough surfaces; Sensor arrays; Sonar measurements; Surface roughness; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-8186-5330-2
  • Type

    conf

  • DOI
    10.1109/ROBOT.1994.351089
  • Filename
    351089