• DocumentCode
    3309689
  • Title

    Modeling odometry and uncertainty propagation for a Bi-Steerable car

  • Author

    Hermosillo, Jorge ; Pradalier, Cedric ; Sekhavat, Sepanta

  • Author_Institution
    INRIA Rhone-Alpes, St. Ismier, France
  • Volume
    2
  • fYear
    2002
  • fDate
    17-21 June 2002
  • Firstpage
    401
  • Abstract
    This paper addresses the problem of modeling the odometry (dead-reckoning) for a Bi-Steerable car (BS-car) and its uncertainty propagation model. The attractive feature of BS-robots is their enhanced maneuverability compared to car-like robots. At first, we take into account the steering ability of a BS-car in order to obtain the odometry model for vehicles showing this type of kinematics. Subsequently, we obtain a generic model for the uncertainty propagation of the odometry model by using a Bayesian probability approach. We show how it is possible to derive from this generic model a specific error propagation model for a particular system, under clearly stated hypothesis. We evaluate qualitatively and quantitatively the performance of the odometry model by experimenting with our BS-platform, the Cycab robot.
  • Keywords
    Bayes methods; mobile robots; road vehicles; robot kinematics; uncertainty handling; BS-robots; Bayesian uncertainty model; Bi-Steerable car; Cycab robot; bi-steerable cars; car-like robots; error propagation; maneuverability; odometry; uncertainty propagation; Bayesian methods; Ear; Kinematics; Laser modes; Mobile robots; Robot sensing systems; Sensor phenomena and characterization; Uncertainty; Vehicles; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicle Symposium, 2002. IEEE
  • Print_ISBN
    0-7803-7346-4
  • Type

    conf

  • DOI
    10.1109/IVS.2002.1187984
  • Filename
    1187984