| 高速公路路面识别技术研究 |
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| 引用本文： | 吴新烨,葛晓宏,曾令军,黄红武.高速公路路面识别技术研究[J].莆田高等专科学校学报,2009(2):75-78. |
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| 作者姓名： | 吴新烨 葛晓宏 曾令军 黄红武 |
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| 作者单位： | 厦门大学机电系,福建厦门361005 |
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| 基金项目： | 福建省青年科技人才创新项目（2006F3121） |
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| 摘 要： | 根据高速公路路面的基本特征，通过分道线特征点投影位置的计算，提取出了比较完整的当前车道分道线特征点。建立道路边缘灰度模型，采用Gabor变换多分辨率的特点，对图像按方向进行滤波处理。实现道路边缘线检测和拟合。实验结果表明，所讨论的方法在工程实践中有实际应用价值。
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| 关 键 词： | 高速公路 计算机视觉 模式识别 路面检测 |
Study on Highway Road Detection Based on Computer Vision |
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| WU Xin-ye,GE Xiao-hong,ZENG Ling-jun,HUANG Hong-wu.Study on Highway Road Detection Based on Computer Vision[J].Journal of Putian College,2009(2):75-78. |
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| Authors: | WU Xin-ye GE Xiao-hong ZENG Ling-jun HUANG Hong-wu |
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| Institution: | (Department of Mechanical ＆ Electrical Engineering, Xiamen University, Xiamen Fujian 361005, China ) |
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| Abstract: | According to the basic characteristics of the road and through marginal extraction, the location of current lane line can be acquired. After calculating projection location of the lane feature points, feature points of a relatively complete current lane dividers can be distilled. Establishing the model of road edge grey scale and adopting the multi-resolution characteristics of Gabor transform, they can filter the image so that they can realize the detection and fitting of the road edge line. Experimental results show us that the method discussed in this text has a certain value in practice. |
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| Keywords: | highway computer vision pattern recognition road detection |
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