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Vision based road lane detection system for vehicles guidance

Khalifa, Othman Omran and Islam, Md. Rafiqul and Assidi, Abdulhakam.AM. and Hassan Abdalla Hashim, Aisha and Khan, Sheroz (2011) Vision based road lane detection system for vehicles guidance. Australian Journal of Basic and Applied Sciences, 5 (5). pp. 728-738. ISSN 1991-8178

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Driver support system is one of the most important feature of the modern vehicles to ensure driver safety and decrease vehicle accident on roads. Apparently, the road lane detection or road boundaries detection is the complex and most challenging tasks. It is includes the localization of the road and the determination of the relative position between vehicle and road. A vision system using on-board camera looking outwards from the windshield is presented in this paper. The system acquires the front view using a camera mounted on the vehicle and detects the lanes by applying few processes. The lanes are extracted using Hough transform through a pair of hyperbolas which are fitted to the edges of the lanes. The proposed lane detection system can be applied on both painted and unpainted roads as well as curved and straight road in different weather conditions. The proposed system does not require any extra information such as lane width, time to lane crossing and offset between the center of the lanes. In addition, camera calibration and coordinate transformation are also not required. The system was investigated under various situations of changing illumination, and shadows effects in various road types without speed limits. The system has demonstrated a robust performance for detecting the road lanes under different conditions.

Item Type: Article (Journal)
Additional Information: 4119/510
Uncontrolled Keywords: Lane detection, Computer vision, Intelligent Vehicles, Hough Transform Visual Guides
Subjects: T Technology > TE Highway engineering. Roads and pavements
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof. Dr Othman O. Khalifa
Date Deposited: 08 Jul 2011 14:28
Last Modified: 22 Oct 2020 08:33
URI: http://irep.iium.edu.my/id/eprint/510

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