Performance Analysis of Lane Detection Algorithm using Partial Hough Transform

P. Maya, C. Tharini
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引用次数: 8

Abstract

The modern world requires intelligent vehicle systems. The lane detection is one of the key process steps in intelligent vehicle systems. This paper proposes a new optimized approach to lane detection using partial Hough transform with image enhancement techniques. A proposed partial Hough parameter space is used for detecting lanes and the approach is verified with different image sets. This method of detection follows fixing region of interest, gray scale conversion of the image, edge detection and lane detection using proposed partial Hough transform. The results of lane detection is compared to the standard Hough transform approach and the improvements are discussed.
基于部分霍夫变换的车道检测算法性能分析
现代世界需要智能汽车系统。车道检测是智能车辆系统的关键环节之一。本文提出了一种基于局部霍夫变换和图像增强技术的车道检测优化方法。提出了一种局部霍夫参数空间用于车道检测,并用不同的图像集对该方法进行了验证。该方法的检测遵循感兴趣区域的固定、图像的灰度转换、边缘检测和使用部分霍夫变换的车道检测。将车道检测结果与标准霍夫变换方法进行了比较,并讨论了改进方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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