• DocumentCode
    2359036
  • Title

    A Real Time 6DOF Visual SLAM System Using a Monocular Camera

  • Author

    Díaz, Andrés ; Caicedo, Eduardo ; Paz, Lina ; Piniés, Pedro

  • Author_Institution
    Escuela de Ing. Electica y Electron., Univ. del Valle, Santiago de Cali, Colombia
  • fYear
    2012
  • fDate
    16-19 Oct. 2012
  • Firstpage
    45
  • Lastpage
    50
  • Abstract
    One of the most important properties that a robot must have in order to be considered autonomous is the ability to localize by itself in an unknown environment, using the information gathered by its sensors. The system uses a cheap web camera, carried by a mobile robot or by a person, while it builds a map and at the same time estimates its localization with respect to this map. To develop such system, problems such as camera calibration, corners detection, features parametrization, motion and measurement models, and the estimation of the joint state camera-features using the extended Kalman Filter, must be tackled.
  • Keywords
    Kalman filters; SLAM (robots); image sensors; mobile robots; real-time systems; Web camera; camera calibration; corners detection; extended Kalman Filter; feature parametrization; measurement models; mobile robot; monocular camera; motion models; real time 6DOF visual SLAM system; Cameras; Mathematical model; Robot vision systems; Simultaneous localization and mapping; Trajectory; Vectors; 6DOF; EKF; SLAM; active search; inverse depth; monocular camera; radial distortion; real time;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics Symposium and Latin American Robotics Symposium (SBR-LARS), 2012 Brazilian
  • Conference_Location
    Fortaleza
  • Print_ISBN
    978-1-4673-4650-4
  • Type

    conf

  • DOI
    10.1109/SBR-LARS.2012.14
  • Filename
    6363317