| 结构化道路车道线识别的一种改进算法 |
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| 引用本文： | 金辉,吴乐林,陈慧岩,龚建伟.结构化道路车道线识别的一种改进算法[J].北京理工大学学报,2007,27(6):501-505. |
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| 作者姓名： | 金辉 吴乐林 陈慧岩 龚建伟 |
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| 作者单位： | 北京理工大学,机械与车辆工程学院,北京,100081 |
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| 摘 要： | 基于机器视觉高速智能车辆,提出了一种改进的道路识别算法. 通过实车采集的图像进行灰度化、中值滤波、边缘增强、最优阈值二值化,获得良好的二值化图像. 根据道路特征采用一种改进的Hough变换识别出边界. 在预处理和检测时都使用感兴趣区域(AOI),减少了图像处理时间,提高了道路识别的可靠性. 实车实验表明,该算法具有良好的实时性、可靠性和鲁棒性.
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| 关 键 词： | 智能车辆 车道线识别 改进的Hough变换 结构化 道路识别 车道 改进算法 Road Structured Recognition Lane 鲁棒性 实时性 实车实验 时间 图像处理 感兴趣区域 使用 检测时 预处理 边界 变换 Hough |
| 文章编号： | 1001-0645（2007）06-0501-05 |
| 收稿时间： | 1/4/2007 12:00:00 AM |
| 修稿时间： | 2007-01-04 |
An Improved Algorithm for the Lane Recognition of Structured Road |
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| JIN Hui,WU Le-lin,CHEN Hui-yan and GONG Jian-wei.An Improved Algorithm for the Lane Recognition of Structured Road[J].Journal of Beijing Institute of Technology(Natural Science Edition),2007,27(6):501-505. |
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| Authors: | JIN Hui WU Le-lin CHEN Hui-yan and GONG Jian-wei |
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| Institution: | School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | Based on a high-speed intelligent vehicle with machine vision,an improved algorithm of lane recognition is proposed.In order to obtain fine gradient images, graying,median filter,edge enhancement and optimal threshold are adopted to process images taken by experimental vehicle's CCD camera.Lane edge is detected according to its feature model by an improved Hough transformation.By focusing on area of interest(AOI) in pretreatment and detection,processing time is dramatically reduced.Moreover,the reliability of lane recognition is improved. The experimental result shows that this algorithm is of high efficiency,reliability and robustness. |
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| Keywords: | intelligent vehicle lane detection improved Hough transformation |
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