Design and development of image based lane warning and anti-collision detection system

The increasing rate of car accidents worldwide triggered the necessity to develop a system that can help in reducing that figure. In this paper, an image processing based Lane Departure Warning System (LDWS) and Forward Collision Warning (FCW) were introduced in one system namely smart Inner Rear Vi...

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Main Authors:	Ahmed, M. W., Zainal Abidin, Zulkifli, Mustafah, Yasir Mohd., Mourshid, S. K., Abdel Halim, Mahmoud Ahmed, Abdul Rahman, Hasbullah, Sulaiman, S. N.
Format:	Article
Language:	English
Published:	Universiti Teknologi Mara 2018
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/66520/ http://irep.iium.edu.my/66520/ http://irep.iium.edu.my/66520/1/66520_Design%20and%20Development%20of%20Image%20Based.pdf

id	iium-66520
recordtype	eprints
spelling	iium-665202018-10-11T02:52:13Z http://irep.iium.edu.my/66520/ Design and development of image based lane warning and anti-collision detection system Ahmed, M. W. Zainal Abidin, Zulkifli Mustafah, Yasir Mohd. Mourshid, S. K. Abdel Halim, Mahmoud Ahmed Abdul Rahman, Hasbullah Sulaiman, S. N. TK7885 Computer engineering The increasing rate of car accidents worldwide triggered the necessity to develop a system that can help in reducing that figure. In this paper, an image processing based Lane Departure Warning System (LDWS) and Forward Collision Warning (FCW) were introduced in one system namely smart Inner Rear View Mirror (IRVM). This system will monitor the road parameters and give a warning to the driver to be attentive whenever there is deviation from the lane or possible collision. The novelty of this project relies in reducing the cost of such a system to be affordable to everyone as those systems are currently expensive and exist only in luxury cars. This system utilize OpenCV Inverse Perspective Mapping (IPM), Probabilistic Hough Transform (PHT) and Haar classifier. Raspberry Pi single board computer is used as a platform to process the real-time videos. A preliminary result shows that the system is capable of lane markings detection in different roads condition and traffic situation and able to detect cars in front of the driver with more than 93% accuracy. Universiti Teknologi Mara 2018 Article PeerReviewed application/pdf en http://irep.iium.edu.my/66520/1/66520_Design%20and%20Development%20of%20Image%20Based.pdf Ahmed, M. W. and Zainal Abidin, Zulkifli and Mustafah, Yasir Mohd. and Mourshid, S. K. and Abdel Halim, Mahmoud Ahmed and Abdul Rahman, Hasbullah and Sulaiman, S. N. (2018) Design and development of image based lane warning and anti-collision detection system. Journal of Mechanical Engineering, SI (6). pp. 95-105. ISSN 1823-5514 E-ISSN 2550-164X http://jmeche.uitm.edu.my/browse-journals/special-issues/special-issue-2018-vol-6-sustainable-mobility/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Ahmed, M. W. Zainal Abidin, Zulkifli Mustafah, Yasir Mohd. Mourshid, S. K. Abdel Halim, Mahmoud Ahmed Abdul Rahman, Hasbullah Sulaiman, S. N. Design and development of image based lane warning and anti-collision detection system
description	The increasing rate of car accidents worldwide triggered the necessity to develop a system that can help in reducing that figure. In this paper, an image processing based Lane Departure Warning System (LDWS) and Forward Collision Warning (FCW) were introduced in one system namely smart Inner Rear View Mirror (IRVM). This system will monitor the road parameters and give a warning to the driver to be attentive whenever there is deviation from the lane or possible collision. The novelty of this project relies in reducing the cost of such a system to be affordable to everyone as those systems are currently expensive and exist only in luxury cars. This system utilize OpenCV Inverse Perspective Mapping (IPM), Probabilistic Hough Transform (PHT) and Haar classifier. Raspberry Pi single board computer is used as a platform to process the real-time videos. A preliminary result shows that the system is capable of lane markings detection in different roads condition and traffic situation and able to detect cars in front of the driver with more than 93% accuracy.
format	Article
author	Ahmed, M. W. Zainal Abidin, Zulkifli Mustafah, Yasir Mohd. Mourshid, S. K. Abdel Halim, Mahmoud Ahmed Abdul Rahman, Hasbullah Sulaiman, S. N.
author_facet	Ahmed, M. W. Zainal Abidin, Zulkifli Mustafah, Yasir Mohd. Mourshid, S. K. Abdel Halim, Mahmoud Ahmed Abdul Rahman, Hasbullah Sulaiman, S. N.
author_sort	Ahmed, M. W.
title	Design and development of image based lane warning and anti-collision detection system
title_short	Design and development of image based lane warning and anti-collision detection system
title_full	Design and development of image based lane warning and anti-collision detection system
title_fullStr	Design and development of image based lane warning and anti-collision detection system
title_full_unstemmed	Design and development of image based lane warning and anti-collision detection system
title_sort	design and development of image based lane warning and anti-collision detection system
publisher	Universiti Teknologi Mara
publishDate	2018
url	http://irep.iium.edu.my/66520/ http://irep.iium.edu.my/66520/ http://irep.iium.edu.my/66520/1/66520_Design%20and%20Development%20of%20Image%20Based.pdf
first_indexed	2023-09-18T21:34:27Z
last_indexed	2023-09-18T21:34:27Z
_version_	1777412726977462272

Design and development of image based lane warning and anti-collision detection system

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