• DocumentCode
    3528077
  • Title

    Map based road boundary estimation

  • Author

    Darms, Michael ; Komar, Matthias ; Lueke, Stefan

  • Author_Institution
    Chassis & Safety Div., Continental, Lindau am Bodensee, Germany
  • fYear
    2010
  • fDate
    21-24 June 2010
  • Firstpage
    609
  • Lastpage
    614
  • Abstract
    Knowledge about the road shape is a key element for driver assistance systems which support the driver in complex scenarios like construction sites. Systems only using information derived from lane markings reach a limit here. The paper presents an approach to estimate road boundaries based on static objects bounding the road. A map based environment description and an interpretation algorithm identifying the road boundaries in the map are used. Two approaches are presented for estimating the map, one based on a radar sensor, one on a mono video camera. Besides that two fusion approaches are described. The estimated boundaries are independent of road markings and as such can be used as orthogonal information with respect to detected markings. Results of practical tests using the estimated road boundaries for a lane keeping system are presented.
  • Keywords
    driver information systems; edge detection; road vehicle radar; roads; video cameras; driver assistance systems; lane markings; map; mono video camera; radar sensor; road boundary estimation; road shape; Automotive engineering; Cameras; Intelligent vehicles; MONOS devices; Radar detection; Road vehicles; Shape control; Simultaneous localization and mapping; System testing; USA Councils;
  • 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.2010.5548011
  • Filename
    5548011