| 应用方向可调滤波器的车道线识别方法 | |
| 郭磊 ; 李克强 ; 王建强 ; 连小珉 ; GUO Lei ; LI Keqiang ; WANG Jianqiang ; LIAN Xiaomin | |
| 2010-05-13 ; 2010-05-13 | |
| 关键词 | 智能车 方向可调滤波器 车道线检测 车道线跟踪 Intelligent vehicle Steerable filters Lane detection Lane tracking U463.6 |
| 其他题名 | Lane Detection Method by Using Steerable Filters |
| 中文摘要 | 考虑车道线的方向特性,提出一种应用方向可调滤波器的图像预处理方法。在对图像中的车道线方向特性进行分析的基础上,对图像进行分区处理,在每个区域内使用符合该区车道线方向的方向可调滤波器。在车道线初始检测阶段,利用边缘分布函数(Edge distribution function,EDF)确定车道线方向;在车道线跟踪阶段,则把上一轮检测结果作为方向可调滤波器的方向角输入。对比分析表明,该方法能够更加有效地强化车道线信息,去除图像噪声。经过多种工况下的试验验证,应用方向可调滤波器的车道线识别方法能够稳定地对车道线进行识别,准确地提取车道线参数,并且算法实时性很高。; Considering the directional characteristics of lanes,an image preprocessing method using steerable filters is proposed. Based on the analysis of lane orientation characteristics in images,images arc divided into subareas,in each subarea the steerable filters which accord with the lane direction in that subarea are adopted.During the initial lane detection phase,edge distribution function(EDF)is used to determine the lane direction;during the lane tracking phase,the last-round the detection results are inputted as the orientation angle of steerable filters.Comparison shows that the method can intensify lanes information effectively and eliminate image noise.Experiments under various conditions show that the lane detection method using steerable filters can detect lanes stably,estimate lane parameters accurately,and the algorithm is fast enough. |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/31345]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 郭磊,李克强,王建强,等. 应用方向可调滤波器的车道线识别方法[J],2010, 2010. |
| APA | 郭磊.,李克强.,王建强.,连小珉.,GUO Lei.,...&LIAN Xiaomin.(2010).应用方向可调滤波器的车道线识别方法.. |
| MLA | 郭磊,et al."应用方向可调滤波器的车道线识别方法".(2010). |
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