Vision-based lane departure warning system

• Main Authors: Ahmad Rudin, Nurul Syuhada, Mohd. Mustafah, Yasir, Zainal Abidin, Zulkifli, Cho, J., Mohd Zaki, Hasan Firdaus, Nik Hashim, Nik Nur Wahidah, Abdul Rahman, Hasbullah
• Format: Article
• Language: English
• Published: Society of Automotive Engineers Malaysia. 2018
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://irep.iium.edu.my/64701/1/Vision-based%20Lane%20Departure%20Warning%20System.pdf; http://irep.iium.edu.my/64701/; http://journal.saemalaysia.org.my/wp-content/uploads/2018/06/JSAEM-2-2-AhmadRudin.pdf

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.