| 基于移动终端的道路边缘检测方法 |
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| 引用本文： | 杨国青,逄伟,李秀梅. 基于移动终端的道路边缘检测方法[J]. 计算机系统应用, 2015, 24(1): 91-97 |
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| 作者姓名： | 杨国青 逄伟 李秀梅 |
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| 作者单位： | 1. 浙江大学计算机科学与技术学院,杭州,310027
2. 杭州师范大学信息科学与工程学院,杭州,311121 |
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| 基金项目： | 国家自然科学基金(61102164) |
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| 摘 要： | 面向自动驾驶技术,研究一种实时的道路边缘检测方法—MERD(Mobile Equipment based Road-edgeDetection).该方法基于智能移动终端的Android系统平台,将针对HSV图像的数学形态学方法和针对灰度图的Hough变换检测方法相结合,针对不同路段环境进行道路边缘检测.实验验证了该方法在处理傍晚路段、阴影较多路段等不同情况的道路环境时,能够提供较高准确度的实时道路边缘检测,为车辆的自动驾驶提供安全保障.
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| 关 键 词： | 道路边缘检测 移动终端 Hough变换 |
| 收稿时间： | 2014-05-06 |
| 修稿时间： | 2014-06-06 |
Mobile Equipment-Based Road-Edge Detection |
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| YANG Guo-Qing,PANG Wei and LI Xiu-Mei. Mobile Equipment-Based Road-Edge Detection[J]. Computer Systems& Applications, 2015, 24(1): 91-97 |
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| Authors: | YANG Guo-Qing PANG Wei LI Xiu-Mei |
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| Affiliation: | School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China;School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China;School of Information Science and Engineering, Hangzhou Normal University, Hangzhou 311121, China |
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| Abstract: | This paper proposed a real-time method for road-edge detection. The method is named as the mobile equipment based road-edge detection (MERD). Based on the Android platform in the intelligent mobile equipment, MERD combined the mathematical morphology based detection in HSV image with the Hough transform based detection in gray scale image. MERD can be used to provide road-edge detection for various road situations. Experiments are given to show the validity and accuracy of MERD in real-time road-edge detection for the shadowy road, road in the evening, road with snow, road with rain, road with pedestrian and shadows, thus providing the safety insurance for self-driving vehicles. |
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| Keywords: | road-edge detection mobile equipment Hough transform |
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