Vision-based lane departure warning system

Vision-based lane departure warning system

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...

Full description

Bibliographic Details
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/
http://irep.iium.edu.my/64701/
http://irep.iium.edu.my/64701/1/Vision-based%20Lane%20Departure%20Warning%20System.pdf
id iium-64701
recordtype eprints
spelling iium-647012018-10-11T03:18:14Z http://irep.iium.edu.my/64701/ Vision-based lane departure warning system Ahmad Rudin, Nurul Syuhada Mohd. Mustafah, Yasir Zainal Abidin, Zulkifli Cho, J. Mohd Zaki, Hasan Firdaus Nik Hashim, Nik Nur Wahidah Abdul Rahman, Hasbullah QA75 Electronic computers. Computer science 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. Society of Automotive Engineers Malaysia. 2018-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/64701/1/Vision-based%20Lane%20Departure%20Warning%20System.pdf 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 http://journal.saemalaysia.org.my/wp-content/uploads/2018/06/JSAEM-2-2-AhmadRudin.pdf
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ahmad Rudin, Nurul Syuhada
Mohd. Mustafah, Yasir
Zainal Abidin, Zulkifli
Cho, J.
Mohd Zaki, Hasan Firdaus
Nik Hashim, Nik Nur Wahidah
Abdul Rahman, Hasbullah
Vision-based lane departure warning system
description 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.
format Article
author Ahmad Rudin, Nurul Syuhada
Mohd. Mustafah, Yasir
Zainal Abidin, Zulkifli
Cho, J.
Mohd Zaki, Hasan Firdaus
Nik Hashim, Nik Nur Wahidah
Abdul Rahman, Hasbullah
author_facet Ahmad Rudin, Nurul Syuhada
Mohd. Mustafah, Yasir
Zainal Abidin, Zulkifli
Cho, J.
Mohd Zaki, Hasan Firdaus
Nik Hashim, Nik Nur Wahidah
Abdul Rahman, Hasbullah
author_sort Ahmad Rudin, Nurul Syuhada
title Vision-based lane departure warning system
title_short Vision-based lane departure warning system
title_full Vision-based lane departure warning system
title_fullStr Vision-based lane departure warning system
title_full_unstemmed Vision-based lane departure warning system
title_sort vision-based lane departure warning system
publisher Society of Automotive Engineers Malaysia.
publishDate 2018
url http://irep.iium.edu.my/64701/
http://irep.iium.edu.my/64701/
http://irep.iium.edu.my/64701/1/Vision-based%20Lane%20Departure%20Warning%20System.pdf
first_indexed 2023-09-18T21:31:49Z
last_indexed 2023-09-18T21:31:49Z
_version_ 1777412561085399040

Similar Items