汽车导航系统中的道路检测
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TP391

基金项目:

重庆市科技攻关项目(7742-2)


Lane Detection in Navigation System of Vehicle
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为了解决汽车智能辅助驾驶系统道路识别中的一般方法对路面适应性不强,实时性不够等缺点,在图像边缘提取确定了汽车行驶路面区域和路面边缘点的基础上,运用中值截距(Median of the Intercepts)与样条函数相结合的方法对道路进行分段拟合,从而找到道路边界轨迹.提出了一种实时、有效的高速公路路面检测算法,该方法能准确地估算公路延伸方向,为实现汽车防偏预报提供了可靠的依据,同时结合存在的问题进行了有益的探讨.

    Abstract:

    To solve the problem of lane detection in intelligent auxiliary driving system and as the common ways have some shortcoming such as less real-time and adaptive, the paper raises a new way. Based on the edge being extracted, the feature model of lane markings is built by combining the Median of the Intercepts and the spline. One effective and real time method in highway surface searching and following is presented. The result proves that the method can figure out the way stretching correctly. And therefore, it provides reliable information for the vehicle to be self-anti-deviation. At the same time, it also supplies some valuable discussion on problems existing in its experiments.

    参考文献
    相似文献
    引证文献
引用本文

张伟 黄席樾 杨尚罡.汽车导航系统中的道路检测[J].重庆大学学报,2006,29(8):87-90.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2006-03-24
  • 最后修改日期:2006-03-24
  • 录用日期:
  • 在线发布日期:
  • 出版日期:
文章二维码