[1]陈清华,杨静宇,陈建亭.基于自适应模板的非结构化道路检测[J].东南大学学报(自然科学版),2007,37(6):1102-1107.[doi:10.3969/j.issn.1001-0505.2007.06.032]
 Chen Qinghua,Yang Jingyu,Chen Jianting.Lane and road detection based on adaptive deformable template[J].Journal of Southeast University (Natural Science Edition),2007,37(6):1102-1107.[doi:10.3969/j.issn.1001-0505.2007.06.032]
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基于自适应模板的非结构化道路检测()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
37
期数:
2007年第6期
页码:
1102-1107
栏目:
自动化
出版日期:
2007-11-20

文章信息/Info

Title:
Lane and road detection based on adaptive deformable template
作者:
陈清华 杨静宇 陈建亭
南京理工大学计算机学院, 南京 210009
Author(s):
Chen Qinghua Yang Jingyu Chen Jianting
School of Computer Science and Technology, Nanijing Institute of Technology, Nanijing 210009, China
关键词:
道路检测 图像处理 变形模板 非结构化道路
Keywords:
road detection image processing deformable template unstructured road
分类号:
TP242.62
DOI:
10.3969/j.issn.1001-0505.2007.06.032
摘要:
提出一种基于自适应变形模板的非结构化道路检测算法.新模板的形状随着道路的形状改变而改变,利用新生成的模板预测下一帧图像中可能出现的道路区域和非道路区域,分别计算道路区域和非道路区域的平均向量和协方差以及每一个像素点和平均向量间的Mahalanobis距离; 通过中值滤波去掉噪声点,再进行边缘跟踪计算出路边.该算法运算量小,检测速度快,基本满足实时性要求,具有良好的抗阴影的能力.
Abstract:
A new method of unstructured road detection based on adaptive deformable template is presented. The shape of new template varies with the shape of road. The road area and the other area in a road image are predicted by new template. And then, their average vector and covariance as well as the Mahalanobis distance between each pixel and average vector are calculated respectively. The noise edge dots are eliminated by mean median filters. The road edges are gotten from tracing edge dots. The method proposed is with less calculation and higher speed, which satisfies robust real-time basically and resists the effect of shadows.

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备注/Memo

备注/Memo:
基金项目: 国防科工委基金资助项目(K1703060113).
作者简介: 陈清华(1963—),男,博士生,副教授; 杨静宇(联系人), 男, 教授,博士生导师, yangjy@mail.njust.edu.cn.
更新日期/Last Update: 2007-11-20