Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Information Technology Journal
Year: 2012  |  Volume: 11  |  Issue: 9  |  Page No.: 1184 - 1192

A Robust Vision-based Lane Boundaries Detection Approach for Intelligent Vehicles

M.S. Javadi, M.A. Hannan, S.A. Samad and A. Hussain    

Abstract: The intelligence of the vehicle is identified by the surrounding environment. Lane detection is one of the vision-based features that used for assisting and controlling tasks for the intelligent vehicles. In this study, an overview of lane detection approaches is presented and then a model, based on inverse perspective mapping, edge detection and fitting lines algorithm is introduced. The system was tested on the urban road image data base in different light conditions. The performance of the system in term of lane marking detection was 97.2%. The results were accurate and robust with respect to the shadows and worn lane markings and also appropriate for real time procedure.

Cited References   |    Fulltext    |   Related Articles   |   Back
   
 
 
 
  Related Articles

 
 
 
 
 
 
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility