• DocumentCode
    2600525
  • Title

    Distance measurement for tower crane obstacle based on multi-ultrasonic sensors

  • Author

    Lichen Gu ; Xueqin Kou ; Jia, Jia

  • Author_Institution
    Sch. of Mech. & Electron. Eng., Xi´´an Univ. of Archit. & Technol., Xi´´an, China
  • fYear
    2012
  • fDate
    20-24 Aug. 2012
  • Firstpage
    1028
  • Lastpage
    1032
  • Abstract
    Aiming at the anti-collision monitoring of tower crane, the models of state equation and observation equation for obstacle are established, and distance measurement method based on ultrasonic sensor for tower crane obstacle is proposed. According to the multi-sensor information fusion theory and obstacle kinematic model, Kalman filter principle is used to respectively deal with single ultrasonic sensor information and multi-ultrasonic sensor information fusion, then those simulation and experiments results are analyzed and contrasted. The results show that multi-sensor distance measurement is more accurate and stable than single sensor distance measurement, and verify the feasibility and superiority of multi-sensor information fusion theory in tower crane anti-collision applications.
  • Keywords
    Kalman filters; collision avoidance; cranes; distance measurement; poles and towers; sensor fusion; ultrasonic measurement; Kalman filter; anticollision monitoring; distance measurement; multisensor information fusion theory; multiultrasonic sensors; observation equation; obstacle kinematic model; state equation; tower crane obstacle; Acoustics; Cranes; Distance measurement; Kalman filters; Poles and towers; Sensor fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • ISSN
    2161-8070
  • Print_ISBN
    978-1-4673-0429-0
  • Type

    conf

  • DOI
    10.1109/CoASE.2012.6386344
  • Filename
    6386344