基于机器视觉的车道线检测算法 |
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引用本文: | 毛世榕,胡桂明,胡进.基于机器视觉的车道线检测算法[J].装备制造技术,2011(9):59-61. |
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作者姓名: | 毛世榕 胡桂明 胡进 |
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作者单位: | 广西大学电气工程学院,广西南宁,530004 |
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摘 要: | 针对智能车辆视觉导航系统中的车道保持问题,采用图像处理技术检测结构化道路上的车道线,详细介绍了感兴趣的选取,通过对图像进行边缘检测,再结合Hough变换技术检测当前车道线,结果表明,用结合边缘检测和Hough变换来检测车道线,具有很强的鲁棒性和抗干扰性。
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关 键 词: | 车道线检测 边缘检测 Hough变换 |
Machine Vision-based Lane Detection Algorithm |
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Authors: | MAO Shi-rong HU Gui-ming HU Jin |
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Affiliation: | MAO Shi-rong,HU Gui-ming,HU Jin(College of Electrical Engineering,Guangxi University,Nanning 530004,China) |
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Abstract: | To keep an intelligent vehicle on the lane in the vision-based navigation,an image processing technology is proposed to detect the lane of a structured road.The lane edge is detected through edge detection,and the current lane is detected in combination with the Hough Transform.Experimental results are also given. |
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Keywords: | lane detection edge detection hough transform |
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