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A new approach to highway lane detection by using hough transform technique

Aminuddin, Nur Shazwani and Mat Ibrahim, Masrullizam and Mohd Ali, Nursabillilah and Ahmad Radzi, Syafeeza and Mohd Saad, Wira Hidayat and Darsono, Abdul Majid (2017) A new approach to highway lane detection by using hough transform technique. Journal of Information and Communication Technology, 16 (2). pp. 244-260. ISSN 2180-3862

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This paper presents the development of a road lane detection algorithm using image processing techniques.This algorithm is developed based on dynamic videos, which are recorded using on-board cameras installed in vehicles for Malaysian highway conditions.The recorded videos are dynamic scenes of the background and the foreground, in which the detection of the objects, presence on the road area such as vehicles and road signs are more challenging caused by interference from background elements such as buildings, trees, road dividers and other related elements or objects. Thus, this algorithm aims to detect the road lanes for three significant parameter operations; vanishing point detection, road width measurements, and Region of Interest (ROI) of the road area, for detection purposes.The techniques used in the algorithm are image enhancement and edges extraction by Sobel filter, and the main technique for lane detection is a Hough Transform. The performance of the algorithm is tested and validated by using three videos of highway scenes in Malaysia with normal weather conditions, raining and a night-time scene, and an additional scene of a sunny rural road area. The video frame rate is 30fps with dimensions of 720p (1280x720) HD pixels. In the final achievement analysis, the test result shows a true positive rate, a TP lane detection average rate of 0.925 and the capability to be used in the final application implementation.

Item Type: Article
Uncontrolled Keywords: Image processing, lane detection, Region of Interest (ROI), road width, vanishing point.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Computing
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 29 Apr 2018 01:42
Last Modified: 29 Apr 2018 01:42
URI: http://repo.uum.edu.my/id/eprint/24037

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