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Research in Video Detection of Lane Curve and Its Application in Speed Alert System

机译:车道曲线视频检测研究及其在速度警报系统中的应用

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That vehicles travel on a curve with excessive speed tends to skid or roll over. This study presents research in video recognition technology of lane and its application in traffic early safety alert system, which improves traffic safety. In our study, we use a monocular camera to acquire the image of the road ahead. Techniques such as gray-scale transformation, filtering, edge detection and curve fitting are used for the recognition of the lane line and curve fitting. Then radius of curvature of the road ahead will be extracted and then the maximum safe speed, which is to be compared with the speed of the vehicle in safety alert system. Experiments show that this method can accurately calculate the radius of the curve ahead and timely give alert message when the vehicle's speed exceeds safe speed.
机译:车辆在具有过高速度的曲线上行进往往会滑过或翻转。本研究提出了车道视频识别技术的研究及其在交通早期安全警报系统中的应用,提高了交通安全。在我们的研究中,我们使用单眼摄像头来获得前方道路的形象。灰度变换,滤波,边缘检测和曲线拟合等技术用于识别车道线和曲线配件。然后提取前方道路的曲率半径,然后提取最大安全速度,这是与安全警报系统中车辆的速度进行比较。实验表明,这种方法可以准确地计算前方的曲线半径,并且当车辆的速度超过安全速度时,及时提供警报消息。

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