Vision-based lane departure warning system

Ahmad Rudin, Nurul Syuhada and Mohd. Mustafah, Yasir and Zainal Abidin, Zulkifli and Cho, J. and Mohd Zaki, Hasan Firdaus and Nik Hashim, Nik Nur Wahidah and Abdul Rahman, Hasbullah (2018) Vision-based lane departure warning system. Journal of the Society of Automotive Engineers Malaysia, 2 (2). pp. 166-176. ISSN 2600-8092 E-ISSN 2550-2239

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Abstract

Vision-based Lane Departure Warning System (LDW) is a promising tool to avoid road accidents. In practice, it is exceptionally hard to accurately and efficiently detect lanes due a variety of complex noise such as environmental variability. However, image processing techniques have shown promising and reliable outcome in detecting lanes during nonideal conditions. Lane detection and lane departure measurement are two important modules in LDW system. This paper explores the gaps and limitations of the existing method in the past 10 years concerning lane detection and departure warning for LDW system.

Item Type:	Article (Journal)
Additional Information:	8293/64701
Uncontrolled Keywords:	LDW, lane detection, lane departure
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr. Hasan Firdaus Mohd Zaki
Date Deposited:	25 Jul 2018 10:48
Last Modified:	11 Oct 2018 11:18
URI:	http://irep.iium.edu.my/id/eprint/64701

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