车道检测与跟踪两种不同技术的性能比较

A. Humaidi, M. Fadhel
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引用次数: 8

摘要

本文介绍了两种技术在车道检测和跟踪方面的性能比较;霍夫变换和颜色阈值。Hough变换包括以下几个步骤:灰度转换、边缘检测、Hough空间积累和非Hough步画线。颜色阈值分割算法包括颜色阈值分割、形态滤波和绘制跟踪标签。结果表明,霍夫变换技术在编码实现的可靠性、效率和速度上都优于颜色变换技术。这两种技术都使用MATLAB R2010b进行编码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance comparison for lane detection and tracking with two different techniques
This paper presents the performance comparison for lane detection and tracking using two techniques; Hough transform and color thresholding. Hough transform includes the following steps: gray scale conversion, edge detection, Hough space accumulation and un-Hough step to draw line. Color thresholding algorithm comprises color thresholding, morphology filtering and drawing tracking label. The results showed that Hough transform technique outperforms color technique in terms of reliability, efficiency and speed of code implementation. Both techniques are coded using MATLAB R2010b.
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