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首页> 外文会议>International conference on machine vision >Real-Time Stop Sign Detection and Distance Estimation Using a Single Camera
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Real-Time Stop Sign Detection and Distance Estimation Using a Single Camera

机译：使用单个摄像头进行实时停车标志检测和距离估计

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摘要

In modern world, the drastic development of driver assistance system has made driving a lot easier than before. In order to increase the safety onboard, a method was proposed to detect STOP sign and estimate distance using a single camera. In STOP sign detection, LBP-cascade classifier was applied to identify the sign in the image, and the principle of pinhole imaging was based for distance estimation. Road test was conducted using a detection system built with a CMOS camera and software developed by Python language with OpenCV library. Results shows that that the proposed system reach a detection accuracy of maximum of 97.6% at 10m, a minimum of 95.00% at 20m, and 5% max error in distance estimation. The results indicate that the system is effective and has the potential to be used in both autonomous driving and advanced driver assistance driving systems.
机译：在现代世界中，驾驶员辅助系统的迅猛发展使驾驶变得比以前容易得多。为了提高机载安全性，提出了一种使用单摄像头检测停车标志并估计距离的方法。在STOP信号检测中，应用LBP级联分类器识别图像中的信号，并根据针孔成像原理进行距离估计。使用由CMOS摄像头构建的检测系统和由Python语言开发的具有OpenCV库的软件进行路试。结果表明，所提出的系统在10m处的检测精度最高为97.6％，在20m处的检测精度最低为95.00％，距离估计的最大误差为5％。结果表明该系统是有效的，并且有可能在自动驾驶和高级驾驶员辅助驾驶系统中使用。

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