• DocumentCode
    3405522
  • Title

    Feature Initialization for Bearing-Only Visual SLAM Using Triangulation and the Unscented Transform

  • Author

    Klippenstein, Jonathan ; Zhang, Hong ; Wang, Xiang

  • Author_Institution
    Alberta Univ., Edmonton
  • fYear
    2007
  • fDate
    5-8 Aug. 2007
  • Firstpage
    1599
  • Lastpage
    1604
  • Abstract
    We introduce the direct linear triangulation (DLT) as a general technique for delayed feature initialization for bearing-only visual simultaneous localization and mapping (SLAM). Visual features are tracked over multiple frames, and triangulation is performed to recover a three-dimensional landmark position. The unscented transform is used to estimate the landmark covariance matrix. Our previous work in this field is extended with the novel usage of the DLT, as well incorporating observation information from the current SLAM map into the initialization process, resulting in more accurate landmark estimation. Our technique is simple and efficient, requiring no lengthy Jacobian calculations. We present results demonstrating the technique in a bearing-only SLAM system with a mobile robot.
  • Keywords
    SLAM (robots); covariance matrices; mobile robots; bearing-only visual SLAM; direct linear triangulation; feature initialization; landmark covariance matrix; mobile robot; simultaneous localization and mapping; three-dimensional landmark position; unscented transform; Automation; Cameras; Delay; Extraterrestrial measurements; Jacobian matrices; Mechatronics; Mobile robots; Position measurement; Simultaneous localization and mapping; Uncertainty; Feature Initialization; Simultaneous Localization And Mapping; Triangulation; Unscented Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2007. ICMA 2007. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-0828-3
  • Electronic_ISBN
    978-1-4244-0828-3
  • Type

    conf

  • DOI
    10.1109/ICMA.2007.4303788
  • Filename
    4303788