• DocumentCode
    1931306
  • Title

    Road Lane Detection Using H-Maxima and Improved Hough Transform

  • Author

    Ghazali, Kamarul ; Xiao, Rui ; Ma, Jie

  • Author_Institution
    Vision & Intell. Syst. Res. Group, Univ. Malaysia Pahang, Pekan, Malaysia
  • fYear
    2012
  • fDate
    25-27 Sept. 2012
  • Firstpage
    205
  • Lastpage
    208
  • Abstract
    A fast and improved algorithm with the ability to detect unexpected lane changes is aimed in this paper. A short segment of a long curve has relative low curvature which is approximated as a straight line. Based on the characteristics of physical road lane, this paper presents a lane detection technique based on H-MAXIMA transformation and improved Hough Transform algorithm which first defines the region of interest from input image for reducing searching space, divided the image into near field of view and far field of view. In near field of view, Hough transform has been applied to detect lane markers after image noise filtering. The proposed method has been developed using image processing programming language platform and was tested on collected video data. Promising result was obtained with high efficiency of detection.
  • Keywords
    Hough transforms; approximation theory; image denoising; road accidents; road safety; video signal processing; H-maxima transformation; Hough transform algorithm; curve curvature approximation; far field of view; image division; image noise filtering; image processing programming language platform; input image; lane marker detection; near field of view; physical road lane detection; region of interest; searching space reduction; straight line; unexpected lane change detection; video data collection; Computational modeling; Image color analysis; Image edge detection; Machine vision; Roads; Transforms; H_MAXIMA; Hough Transform; lane markers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation (CIMSiM), 2012 Fourth International Conference on
  • Conference_Location
    Kuantan
  • ISSN
    2166-8531
  • Print_ISBN
    978-1-4673-3113-5
  • Type

    conf

  • DOI
    10.1109/CIMSim.2012.31
  • Filename
    6338076