›› 2014, Vol. 27 ›› Issue (10): 36-.

• 论文 • 上一篇    下一篇

基于直线模型的道路边界识别技术

刘金龙,张晓雨   

  1. (1.哈尔滨工业大学 汽车工程学院,山东 威海 264209;2.哈尔滨工业大学 航天学院,黑龙江 哈尔滨 150001)
  • 出版日期:2014-10-15 发布日期:2014-10-17
  • 作者简介:刘金龙(1990—),男,硕士研究生。研究方向:机器视觉。E-mail:ljl199022@sina.com。张晓雨(1992—),女,本科。研究方向:机器视觉。

Road Edge Detection Technique Based on the Linear Model

LIU Jinlong,ZHANG Xiaoyu   

  1. (1.School of Automotive Engineering,Harbin Institute of Technology,Weihai 264209,China;
    2.School of Astronautics,Harbin Institute of Technology,Harbin 150001,China)
  • Online:2014-10-15 Published:2014-10-17

摘要:

为了能为汽车实时提供前方道路信息,文中建立了直线道路边界模型,并提出了道路边缘识别算法。通过灰度化、直方图均衡化、滤波,边缘增强与二值化的处理粗略得到图像的边缘,再利用道路边界的邻域特征从图像边缘中识别出道路边界。仿真结果表明,该算法能准确识别出道路的边缘。

关键词: 机器视觉, 智能车辆, 直线模型, 道路边界, 边界识别

Abstract:

In order to provide the real-time information about the front road for vehicles,a boundary model for the straight road is established and a road edge detection algorithm is introduced.A rough edge region is obtained through gradation,histogram equalization,filtering operations,edge enhancement and binarization.Then road edges are detected according to the neighborhood characteristics.Simulation results show that this algorithm can detect the road edges accurately.

Key words: machine vision;intelligent vehicle;linear model;road edge;edge detection

中图分类号: 

  • TP391.41