Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Lane detection and kalman-based linear-parabolic lane tracking

    Access Status
    Fulltext not available
    Authors
    Lim, Hann
    Seng, K.
    Ang, L.
    Chin, S.
    Date
    2009
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Lim, H. and Seng, K. and Ang, L. and Chin, S. 2009. Lane detection and kalman-based linear-parabolic lane tracking, pp. 351-354.
    Source Title
    2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009
    DOI
    10.1109/IHMSC.2009.211
    ISBN
    9780769537528
    School
    Curtin Sarawak
    URI
    http://hdl.handle.net/20.500.11937/32955
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents a lane detection and linear-parabolic lane tracking system using kalman filtering method. First, the image horizon is detected in a traffic scene to split the sky and road region. Road region is further analyzed with entropy method to remove the road pixels. Lane boundaries are then extracted from the region using lane markings detection. These detected boundaries are tracked in consecutive video frames with a linear-parabolic tracking model. The model parameters are updated with Kalman filtering method. Error-checking is performed iteratively to ensure the performance of the lane estimation model. Simulation results demonstrate good performance of the proposed Kalman-based linear-parabolic lane tracking system with fine parameters update. © 2009 IEEE.

    Related items

    Showing items related by title, author, creator and subject.

    • Real-time implementation of vision-based lane detection and tracking
      Lim, Hann; Seng, K.; Le Ngo, A.; Ang, L. (2009)
      This paper presents a real-time implementation on lane detection and tracking system in order to localize lane boundaries and estimate a linear-parabolic lane model. It is realized using TMS320DM642 DSP board. Video frame ...
    • Vision-based lane-vehicle detection and tracking
      Lim, Hann; Seng, K.; Ang, L.; Chin, S. (2009)
      This chapter presents a vision-based lane-vehicle detection and tracking system comprising of (i) enhanced lane boundary detection, (ii) linear-parabolic lane region tracking, and (iii) vehicle detection with a proposed ...
    • River Flow Lane Detection and Kalman filtering-based B-spline Lane Tracking
      Lim, King Hann; Seng, Kah Phooi; Ang, Li-Minn (2012)
      A novel lane detection technique using adaptive line segment and river flow method is proposed in this paper to estimate driving lane edges. A Kalman filtering-based B-spline tracking model is also presented to quickly ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.