Paper Title:
An Intelligent Lane Markers Recognition and Localization System Using Improved Hough Transform
  Abstract

According to the U.S. National Highway Traffic Safety Administration, single vehicle road departures result in many serious accidents each year[1]. An intelligent lane markers recognition and localization system can assist vehicles stay in proper location of a lane that will reduce possibility of car accidents correspondingly. A great deal of lane recognition algorithms have been developed over the past several decades. However, reliable detection is still an issue because of variable road face conditions. An optimum algorithm, Probabilistic Hough Transform (PHT) is presented in this paper for intelligent Lane markers recognition which use a fixed camera installed on the vehicle to transmit video information. The result of experiment proved that under inconsistent illumination and a diversity of road conditions, the accuracy and efficiency of developed system have been improved greatly.

  Info
Periodical
Chapter
Chapter 2: Advanced Design Science (2)
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
1186-1190
DOI
10.4028/www.scientific.net/AMM.121-126.1186
Citation
K. H. B. Ghazali, R. Xiao, J. Ma, "An Intelligent Lane Markers Recognition and Localization System Using Improved Hough Transform", Applied Mechanics and Materials, Vols. 121-126, pp. 1186-1190, 2012
Online since
October 2011
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Price
$32.00
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