L*a*b* color model based road lane detection in autonomous vehicles

Authors

  • M Kazemi Electrical Engineering Department, Babol Noshirvani University of Technology, Babol, Iran
  • Y Baleghi Electrical Engineering Department, Babol Noshirvani University of Technology, Babol, Iran

DOI:

https://doi.org/10.3329/bjsir.v52i4.34814

Keywords:

Intelligent vehicle, Machine vision, Lane detection, Color segmentation, Hough transform

Abstract

Autonomous vehicles, as a main part of Intelligent Transportation Systems (ITS), will have great impact on transportation in near future. They could navigate autonomously in specific areas or highways and city streets using maps, GPS, video sensors and so on. To navigate autonomously or follow a road, intelligent vehicles need to detect lanes. This paper presents a method for lane detection in image sequences of a camera on top of a robotic vehicle. The main idea is to find the road area using the L*a*b* color space in consecutive frames. Subsequently, by applying this model in road area and equalization of histogram and calculation of gradient image using Sobel operator, the parameters of the lane can be calculated using a Hough transform. The proposed method is tested under various illumination conditions and experimental results indicate the good performance of the proposed method.

Bangladesh J. Sci. Ind. Res. 52(4), 273-280, 2017

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Published

2017-12-06

How to Cite

Kazemi, M., & Baleghi, Y. (2017). L*a*b* color model based road lane detection in autonomous vehicles. Bangladesh Journal of Scientific and Industrial Research, 52(4), 273–280. https://doi.org/10.3329/bjsir.v52i4.34814

Issue

Vol. 52 No. 4 (2017)

Section

Articles

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