A New Approach to Highway Lane Detection by Using Hough Transform Technique

Authors

  • Nur Shazwani Aminuddin Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka, Malaysia
  • Masrullizam Mat Ibrahim Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka, Malaysia
  • Nursabillilah Mohd Ali Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka, Malaysia
  • Syafeeza Ahmad Radzi Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka, Malaysia
  • Wira Hidayat Mohd Saad Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka, Malaysia
  • Abdul Majid Darsono Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka, Malaysia

DOI:

https://doi.org/10.32890/jict2017.16.2.3

Keywords:

Image processing, lane detection, Region of Interest (ROI), road width, vanishing point

Abstract

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.

 

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Published

06-11-2017

Issue

Vol. 16 No. 2 (2017): Journal of Information and Communication Technology (JICT) Vol.16, No.2, December 2017

Section

Articles

How to Cite

Aminuddin, N. S., Mat Ibrahim, M., Mohd Ali, N., Ahmad Radzi, S., Mohd Saad, W. H., & Darsono, A. M. (2017). A New Approach to Highway Lane Detection by Using Hough Transform Technique. Journal of Information and Communication Technology, 16(2), 244-260. https://doi.org/10.32890/jict2017.16.2.3

Research impact

Harvested 2026-09-06
36 citations, from OpenAlex — the highest of the sources checked

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Identifiers DOI 10.32890/jict2017.16.2.3 OpenAlex W4236211485