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
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Abstract
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.
Item Type: | Article (Journal) |
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Additional Information: | 4516/66520 |
Uncontrolled Keywords: | Image processing, Smart IRVM, LDWS, FCW |
Subjects: | 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 > Department of Mechatronics Engineering Kulliyyah of Engineering |
Depositing User: | ZULKIFLI ZAINAL ABIDIN |
Date Deposited: | 11 Oct 2018 10:52 |
Last Modified: | 11 Oct 2018 10:52 |
URI: | http://irep.iium.edu.my/id/eprint/66520 |
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