• DocumentCode
    1944575
  • Title

    Interacting multiple model road curvature estimation

  • Author

    Shen, Truman ; Ibrahim, Faroog

  • Author_Institution
    Takata Holdings Inc., Japan
  • fYear
    2012
  • fDate
    16-19 Sept. 2012
  • Firstpage
    710
  • Lastpage
    715
  • Abstract
    Accurate road curvature estimation is essential to many drive assistance systems and active safety systems, such as curve speed warning, lane departure warning, and lane keeping assistance. To improve the overall performance of road curvature estimation and path prediction, we proposed an interacting multiple model (structure) approach in curvature filtering, so that the curvature estimates for straight road and pure arc can be more accurate while the transitional curvature change between straight and constant radius curve can still be accounted for.
  • Keywords
    computer vision; driver information systems; road safety; active safety systems; curvature filtering; curve speed warning; drive assistance systems; interacting multiple model road curvature estimation; lane departure warning; lane keeping assistance; path prediction; radius curve; transitional curvature; Accuracy; Data models; Estimation; Filtering; Mathematical model; Noise; Roads;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    2153-0009
  • Print_ISBN
    978-1-4673-3064-0
  • Electronic_ISBN
    2153-0009
  • Type

    conf

  • DOI
    10.1109/ITSC.2012.6338884
  • Filename
    6338884