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水平亮度微分在车道线检测中的使用
引用本文:刘振超,孔斌,王俊,黄俊杰.水平亮度微分在车道线检测中的使用[J].仪表技术,2012(7):21-23,27.
作者姓名:刘振超  孔斌  王俊  黄俊杰
作者单位:[1]中国科学院合肥智能机械研究所,安徽合肥230031 [2]中国科学技术大学自动化系,安徽合肥230026
基金项目:国家自然科学基金资助项目(91120307,60875076)
摘    要:车道线检测是自动驾驶及辅助驾驶中的关键部分。文章介绍一种快速车道线检测方法,该算法通过将原始RGB图像转换至亮度图像,通过水平亮度微分及透视变换找出车道线左右边缘,得到车道线中央坐标,根据Hough变换找出其中平行线段,分段进行直线段连接。实验表明此算法可以快速检测出车道线并具有很好的健壮性。

关 键 词:车道线检测  透视变换  Hough变换

Lane Detection Using Horizontal Lightness Differential
LIU Zhen-chao,KONG Bin,WANG Jun,HUANG Jun-jie.Lane Detection Using Horizontal Lightness Differential[J].Instrumentation Technology,2012(7):21-23,27.
Authors:LIU Zhen-chao  KONG Bin  WANG Jun  HUANG Jun-jie
Affiliation:LIU Zhen-chao, KONG Bin, WANG Jun, HUANG Jun-jle( 1. Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, China; 2. Department of Automation, University of Science and Technology of China, Hefei 230026, China)
Abstract:Lane detection is the key of automotive driving system and assistant driving system. This paper intro- duces a quick algorithm to detect lanes. It converts an image of RGB to YUV, finds the center coordinates of a lane through lightness differential and perspective warping, gets all parallel line with Hough transformation and fits the lane by connecting each line fraction. Experiment results indicate this algorithm has an excellent speed with robust perform- ance.
Keywords:lane detection  perspective transform  Hough transformation
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