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Real-Time Stop Sign Detection and Distance Estimation Using a Single Camera

机译：使用单个相机实时停止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，驾驶员援助系统的激烈发展使得比以前更容易。为了增加安全板，提出了一种方法来使用单个相机检测停止标志和估计距离。在停止标志检测中，应用LBP - 级联分类器来识别图像的符号，并且针孔成像原理基于距离估计。使用带有CMOS相机和由Python语言开发的软件的检测系统进行了道路测试，使用OpenCV库开发。结果表明，所提出的系统达到最高97.6％的检测精度为10米，最小95.00％，距离估计中的5％最大误差。结果表明，该系统是有效的，并且具有在自主驾驶和高级驾驶员辅助驱动系统中使用的潜力。

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