
	Information Technology Journal
	Year: 2012 \| Volume: 11 \| Issue: 9 \| Page No.: 1184-1192 DOI: 10.3923/itj.2012.1184.1192

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.

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How to cite this article:

M.S. Javadi, M.A. Hannan, S.A. Samad and A. Hussain, 2012. A Robust Vision-based Lane Boundaries Detection Approach for Intelligent Vehicles. Information Technology Journal, 11: 1184-1192.

DOI: 10.3923/itj.2012.1184.1192

URL: https://scialert.net/abstract/?doi=itj.2012.1184.1192

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