• DocumentCode
    2689233
  • Title

    Building a partial 3D line-based map using a monocular SLAM

  • Author

    Zhang, Guoxuan ; Suh, Il Hong

  • Author_Institution
    Coll. of Inf. & Commun., Hanyang Univ., Seoul, South Korea
  • fYear
    2011
  • fDate
    9-13 May 2011
  • Firstpage
    1497
  • Lastpage
    1502
  • Abstract
    In this paper, we present a monocular SLAM method which uses vertical and the floor line features as sensory input. A line-based partial 3D map was built, in which many structural properties of the environment can be included. The vertical line and the floor line can be represented as simple 2D objects in the floor plane. These two heterogeneous types of line features were developed as independent SLAM features and combined to represent the environment in a more complete fashion. Although the vertical and floor line use different parameterization and initialization methods, their measurement models are integrated into a unified EKF framework. Experimental results show that this method is practical in a structured indoor environment.
  • Keywords
    Kalman filters; SLAM (robots); floor line; line-based partial 3D map; measurement model; monocular SLAM; partial 3D line-based map; simple 2D objects; structural properties; structured indoor environment; unified EKF framework; vertical line; Cameras; Feature extraction; Robot kinematics; Robot vision systems; Simultaneous localization and mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-61284-386-5
  • Type

    conf

  • DOI
    10.1109/ICRA.2011.5979665
  • Filename
    5979665