• DocumentCode
    1689143
  • Title

    An improved lane departure method for Advanced Driver Assistance System

  • Author

    Gaikwad, Vijay ; Lokhande, Shashikant

  • Author_Institution
    Dept. of Electron., Vishwakarma Inst. of Technol., Pune, India
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper proposes an improved lane departure algorithm based on region of interest (ROI) segmentation. ROI of a test image is extracted first. Based on statistical parameters a departure warning is generated. Hough transform is used to detect the lines in the segmented ROI. Distance between Hough origin and lane-line midpoint is estimated. Based on the difference between these distances, a lane departure decision is made. A typical road may have multiple lanes which may cause difficulty in generating appropriate departure decision with good accuracy and in short time. Experiments show that the proposed algorithm eliminates this problem. It is simple to implement and robust, and can detect the lane markings accurately and quickly.
  • Keywords
    Hough transforms; driver information systems; feature extraction; image segmentation; object detection; statistical analysis; Hough transform; ROI segmentation; advanced driver assistance system; improved lane departure method; lane departure decision; lane-line midpoint; line detection; region-of-interest segmentation; statistical parameter; test image extraction; Alarm systems; Histograms; Image edge detection; Image segmentation; Roads; Transforms; Vehicles; Hough transform; ROI; lane departure; lane detection; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication and Applications (ICCCA), 2012 International Conference on
  • Conference_Location
    Dindigul, Tamilnadu
  • Print_ISBN
    978-1-4673-0270-8
  • Type

    conf

  • DOI
    10.1109/ICCCA.2012.6179148
  • Filename
    6179148