• DocumentCode
    2278111
  • Title

    Intelligent Algorithm for Parallel Self-Parking Assist of a Mobile Robot

  • Author

    Ibarra-Manzano, M.-A. ; De-Anda-Cuellar, J.-H. ; Perez-Ramirez, C.-A. ; Vera-Almanza, O.-I. ; Mendoza-Galindo, F.-J. ; Carbajal-Guillen, M.-A. ; Almanza-Ojeda, D.-L.

  • Author_Institution
    Electron. Dept., Univ. of Guanajuato, Salamanca, Mexico
  • fYear
    2012
  • fDate
    19-23 Nov. 2012
  • Firstpage
    37
  • Lastpage
    41
  • Abstract
    This paper proposes the implementation of an algorithm for the parallel self-parking of a tricycle mobile robot. Knowing the dimensions of the mobile robot, our strategy consists in validating the minimal distance required by the robot to perform the parking task. The robotic platform is equipped with an ultrasonic sensor centered in the front part of the robot, that measures the distances in meters between the robot and any obstacle in the scene. Also, we use only that ultrasonic sensor to continuously measure the distance to any obstacle or wall, in order to calculate the necessary maneuvers for parking. An exhaustive analysis of the kinematic model of the robot allows to calculate a more robust and optimal movement for the robot. The main analytical and experimental results, under different scenarios, are provided. At the end of the document, the conclusions and perspectives are discussed.
  • Keywords
    distance measurement; mobile robots; road traffic control; robot kinematics; robust control; intelligent algorithm; minimal distance measurement; parallel self-parking assistance; robot front part; robot kinematic model; robust-optimal robotic movement; tricycle mobile robot; ultrasonic sensor; mobile robot; real-time system; self-parking; ultrasonic sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2012 IEEE Ninth
  • Conference_Location
    Cuernavaca
  • Print_ISBN
    978-1-4673-5096-9
  • Type

    conf

  • DOI
    10.1109/CERMA.2012.14
  • Filename
    6524552