| 结合分块Hough变换与Kalman预测的车道线检测方法 |
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| 引用本文： | 尤小泉,彭映杰. 结合分块Hough变换与Kalman预测的车道线检测方法[J]. 科学技术与工程, 2013, 13(24) |
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| 作者姓名： | 尤小泉 彭映杰 |
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| 作者单位： | 成都工业学院,成都信息工程学院科技处 |
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| 基金项目： | 四川省教育厅科研项目计划，项目编号：10ZB148；四川省应用基础研究计划，项目编号：2009JY0175；四川省教育厅科研项目计划，项目编号：09ZB115；成都工业学院校基金，项目编号：KY0911011B |
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| 摘 要： | 本文利用分块Hough变换与Kalman预测相结合的方法来处理车载摄像机采集的道路图像，在极大的降低算法复杂度的同时能够对弯道处的车道线进行有效的检测。这种采用分块变换与预测相结合的方法能有效的降低计算量，提高车道检测的实时性。实验表明，本文方法既可以得到稳定的检测结果又能提高检测的速度，同时继承了Hough变换的容错性和鲁棒性。
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| 关 键 词： | 信号与信息处理；图像分析；车道线检测；霍夫变换；卡尔曼预测 |
| 收稿时间： | 2013-04-18 |
| 修稿时间： | 2013-05-07 |
Combining the blocked Hough transform and Kalman prediction method for lane detection |
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| YOU Xiao-quan and. Combining the blocked Hough transform and Kalman prediction method for lane detection[J]. Science Technology and Engineering, 2013, 13(24) |
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| Authors: | YOU Xiao-quan and |
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| Abstract: | In this paper, it uses the method of combining the blocked Hough transform and Kalman prediction to handle the vehicle-mounted camera capturing images, which will greatly reduce the complexity of the algorithm and effectively detect the bend lane as well. This method can effectively reduce the amount of computation, and improve the real-time detection of lane. Experiments have proved that this method can achieve both stable detection results and higher detection rate. It is the heritage of Hough transform fault tolerance and robustness. |
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| Keywords: | Signal and information processing Image analysis Lane detection Hough transform Kalman prediction |
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