• DocumentCode
    3092395
  • Title

    Estimation of unstabilized components in vehicular motion

  • Author

    Yao, Yi-Sheng ; Chellappa, Rama

  • Author_Institution
    Center for Autom. Res., Maryland Univ., College Park, MD, USA
  • Volume
    1
  • fYear
    1994
  • fDate
    9-13 Oct 1994
  • Firstpage
    641
  • Abstract
    This paper presents a kinetic-model based algorithm for estimating some unstabilized components in vehicular motion. In addition to smooth motion, there are unstabilized components such as bounce, pitch and roll in vehicular motion. A two-wheel vehicle model available in the literature is used to take into account the bouncing and pitching components. The dynamics of these unstabilized components are formulated using standard equations of motion. Assuming that depth information is known for some landmarks in the scene (e.g. obtained from a laser range finder) and inertial sensors such as accelerometers are available, a feature-based approach is proposed do estimate these unstabilized components. Simulation results for a stochastic terrain profile is presented
  • Keywords
    computer vision; bounce; equations of motion; feature-based approach; kinetic-model based algorithm; pitch; roll; stochastic terrain profile; two-wheel vehicle model; unstabilized components estimation; vehicular motion; Accelerometers; Cameras; Computer vision; Equations; Motion estimation; Navigation; Springs; Tires; Vehicles; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
  • Conference_Location
    Jerusalem
  • Print_ISBN
    0-8186-6265-4
  • Type

    conf

  • DOI
    10.1109/ICPR.1994.576385
  • Filename
    576385