Design and development of image based lane warning and anti-collision detection system / M.W. Ahmed ... [et al.]

Ahmed, M.W. and Abidin, Z.Z. and Mustafah, Y.M. and Mourshid, S.K. and Abdelhalim, M.A. and Rahman, H.A and Sulaiman, S.N. (2018) Design and development of image based lane warning and anti-collision detection system / M.W. Ahmed ... [et al.]. Journal of Mechanical Engineering (JMechE), SI 6 (1). pp. 95-105. ISSN 18235514

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.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Ahmed, M.W.
UNSPECIFIED
Abidin, Z.Z.
UNSPECIFIED
Mustafah, Y.M.
UNSPECIFIED
Mourshid, S.K.
UNSPECIFIED
Abdelhalim, M.A.
UNSPECIFIED
Rahman, H.A
UNSPECIFIED
Sulaiman, S.N.
UNSPECIFIED
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TJ Mechanical engineering and machinery > Machine design and drawing
T Technology > TJ Mechanical engineering and machinery > Machine construction (General)
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Mechanical Engineering
Journal or Publication Title: Journal of Mechanical Engineering (JMechE)
UiTM Journal Collections: UiTM Journal > Journal of Mechanical Engineering (JMechE)
ISSN: 18235514
Volume: SI 6
Number: 1
Page Range: pp. 95-105
Keywords: Image processing, Smart IRVM, LDWS, FCW
Date: 2018
URI: https://ir.uitm.edu.my/id/eprint/41022
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