| 一种车道线检测与跟踪方法 |
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| 引用本文： | 王松波. 一种车道线检测与跟踪方法[J]. 计算机工程与应用, 2011, 47(3): 244-248. DOI: 10.3778/j.issn.1002-8331.2011.03.071 |
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| 作者姓名： | 王松波 |
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| 作者单位： | 湛江师范学院 商学院，广东 湛江 524048 |
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| 基金项目： | 湛江师范学院博士专项研究项目 |
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| 摘 要： | 为了得到较为理想的车道标识线边缘图像，便于更好地对车道标识线进行识别，采用小波方法实现对车道线的边缘检测，并进行边缘连接。利用Hough变换得到车道标识线参数，并采用Kalman滤波方法实现对车道标识线的实时跟踪。实验结果表明，该方法具有很好的可靠性、鲁棒性和实时性，为解决汽车智能驾驶提供了保障。
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| 关 键 词： | 车道线检测 边缘检测 Hough变换 Kalman滤波 |
| 收稿时间： | 2009-06-16 |
| 修稿时间： | 2009-8-4 |
A method of traffic lane detection and tracking |
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| WANG Songbo. A method of traffic lane detection and tracking[J]. Computer Engineering and Applications, 2011, 47(3): 244-248. DOI: 10.3778/j.issn.1002-8331.2011.03.071 |
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| Authors: | WANG Songbo |
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| Affiliation: | Zhanjiang Normal University，Zhanjiang，Guangdong 524048，China |
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| Abstract: | In order to obtain the better edge images of traffic lane and the better traffic lane recognition,wavelet is used in the lane edge detection and edge connection.Then the Hough transform methods are used to get the traffic lane parameters,and finally the Kalman filter is used to achieve real-time traffic lane tracking.The experimental results show that this method has good reliability,robustness and real-time which ensures smart driving and solves the security. |
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| Keywords: | lane detection edge detection Hough transform Kalman filter
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