Lane Detection and Identification Algorithm Based on RGB Space

doi:10.3969/j.issn.1006-2475.2014.02.020

Abstract

Abstract: This paper proposes a new lane detection and color identification algorithm using color information. Firstly, the segments with prominent color difference and reasonable width were located. Secondly, the colors of the located segments were identified with color prior in RGB color space. Thirdly, the yellow and white color thresholds were estimated by the identified segments, respectively. Finally, the yellow and white lane markers were segmented with the thresholds. The experiments results showed that the proposed algorithm is able to estimate the thresholds for segmentation and identify the color of lane marker color and applicable in complex environments such as polluted roads or clutter background. The algorithm is simple, effective, and robust.

Key words: lane detection, lane identification, RGB space, threshold segmentation

CLC Number:

TP391.41

YANG Yi, HE Ying.

Lane Detection and Identification Algorithm Based on RGB Space

[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2014.02.020.

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