Color-enhanced lane line detection algorithm based on HSL color space

Dongdong Xu

doi:10.1117/12.3008108

14 November 2023 Color-enhanced lane line detection algorithm based on HSL color space

Dongdong Xu

Proceedings Volume 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023); 129341Y (2023) https://doi.org/10.1117/12.3008108
Event: 2023 3rd International Conference on Computer Graphics, Image and Virtualization (ICCGIV 2023), 2023, Nanjing, China

Abstract

Aiming at the problems that the traditional lane line detection algorithm is greatly affected by light, the detection effect is poor when the color of the lane line and the road surface is relatively light, and the entire line segment is mistakenly divided into multiple straight lines during local detection, a new method based on color-enhanced lane line detection algorithm in HSL color space is proposed. First, the RGB image is converted into an HSL image, brightness enhancement, color extraction, and channel combination threshold setting are preformed to reduce the influence of illumination and facilitate subsequent effective capture of lane lines of interest. The perspective of the image is then changed to a bird's-eye view, which simplifies segmentation and subsequent processing. Then, the improved line segment extraction algorithm is adopted, and the performance of line segment extraction is improved by improving the threshold and line segment clustering. Finally, the lane lines are synthesized by curve fitting. The experimental results show that the method proposed in this paper has good performance, low environmental requirements and high recognition accuracy, and the performance of the algorithm fully meets the requirements of lane line detection.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dongdong Xu "Color-enhanced lane line detection algorithm based on HSL color space", Proc. SPIE 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023), 129341Y (14 November 2023); https://doi.org/10.1117/12.3008108

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KEYWORDS

Image segmentation

Detection and tracking algorithms

Image enhancement

Image processing

Image processing algorithms and systems

Feature extraction

Hough transforms

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