| 基于边缘分布及特征聚类的车道标记线检测 | |
| 易世春 ; 李克强 ; 郭君斌 ; 高秀丽 ; Yi Shichun ; Li Keqiang ; Guo Junbin ; Gao Xiuli | |
| 2016-03-30 ; 2016-03-30 | |
| 关键词 | 车道标记线检测 边缘分布 特征聚类 TP391.41 |
| 其他题名 | Lane Marking Detection Based on Edge Distribution and Feature Clustering |
| 中文摘要 | 提出一种基于边缘分布和特征聚类的车道标记线检测方法。首先采用可变窗口计算车道标记线局部灰度阈值,结合图像梯度提取出有效边缘。然后按照不同工况下车道标记线的边缘分布特性,提取特征点。最后对特征点进行聚类处理,将离散的特征点归类为不同的直线段。测试结果表明,该方法可取得较高的车道线识别率,有效排除误识别,准确表示车道线方向信息。; A novel lane marking detection method based on edge distribution and feature clustering is proposed in the paper. Firstly the local grey level threshold of lane markings is calculated with variable window and combined with image gradient the effective edges are extracted. The feature points of lane markings are then extracted according to the edge distribution characteristics of lane markings under different scenarios. Finally,clustering processing is conducted,in which the discrete feature points are classified into different straight line segments. Test results indicate that the method proposed can achieve high identification rate,effectively eliminate erroneous extraction and accurately show the directional information of lane markings. |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/144840]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 易世春,李克强,郭君斌,等. 基于边缘分布及特征聚类的车道标记线检测[J],2016, 2016. |
| APA | 易世春.,李克强.,郭君斌.,高秀丽.,Yi Shichun.,...&Gao Xiuli.(2016).基于边缘分布及特征聚类的车道标记线检测.. |
| MLA | 易世春,et al."基于边缘分布及特征聚类的车道标记线检测".(2016). |
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