• DocumentCode
    3528345
  • Title

    Robust monocular lane detection in urban environments

  • Author

    Felisa, Mirko ; Zani, Paolo

  • Author_Institution
    Dipt. di Ing. dell´´Inf., Univ. degli Studi di Parma, Parma, Italy
  • fYear
    2010
  • fDate
    21-24 June 2010
  • Firstpage
    591
  • Lastpage
    596
  • Abstract
    An effective lane detection algorithm is a basic, yet fundamental component of both autonomous navigation and advanced road safety systems; this paper presents an approach that produces reliable results exploiting a robust polyline matching technique. The proposed solution has been designed from the ground up so that only very limited hardware resources are required: just one camera is used, and the processing is fast enough to be compatible with mainstream DSP units.
  • Keywords
    image matching; image sensors; object detection; road safety; traffic engineering computing; advanced road safety systems; autonomous navigation; monocular lane detection; painted road markings; polyline matching technique; urban environments; Alarm systems; Buffer storage; Cameras; Filtering; Image segmentation; Intelligent vehicles; Navigation; Road safety; Robustness; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2010 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4244-7866-8
  • Type

    conf

  • DOI
    10.1109/IVS.2010.5548028
  • Filename
    5548028