A robust lane detection and verification method for intelligent vehicles

Chun Wei Lin, Din Chang Tseng, Han Ying Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations

Abstract

Robust lane detection is important to the lane departure warning (LDW) for driver assistant system. In this study, lane marks are extracted by searching the lane model parameters in a special defined parameter space without thresholding. The proposed method is based on the lateral inhibition property of human vision system to clear up the edges of lane marks in variant weather conditions; moreover, the lane detected results are verified by the proposed conjugate Gaussian model such that there are no false alarm on the edges of shadow and other vehicles. The proposed lane detection method can gain precise lane-mark information for a lane departure warning system.

Original languageEnglish
Title of host publication3rd International Symposium on Intelligent Information Technology Application, IITA 2009
Pages521-524
Number of pages4
DOIs
StatePublished - 2009
Event3rd International Symposium on Intelligent Information Technology Application, IITA 2009 - NanChang, China
Duration: 21 Nov 200922 Nov 2009

Publication series

Name3rd International Symposium on Intelligent Information Technology Application, IITA 2009
Volume1

Conference

Conference3rd International Symposium on Intelligent Information Technology Application, IITA 2009
Country/TerritoryChina
CityNanChang
Period21/11/0922/11/09

Keywords

  • Intelligent vehicle
  • Lane departure warning
  • Lane detection

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