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Novel vehicle information acquisition method using vehicle code for automotive infrared laser radar

机译:一种用于汽车红外激光雷达的利用车辆编码的车辆信息获取新方法

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In recent years, transportation convenience is improved significantly by the spread of the automobile. However, traffic violation vehicles passing on the signal, hit-and-run, etc. are increasing with the increase of vehicles. To track a violation vehicle, recognition systems of the license plate using the image processing technology and cameras have been developed. However this system becomes expensive and complicated. To solve these problems, we have proposed a recognition method of the vehicle code using infrared laser radar. We set up a one-dimensional code created by reflectors on the vehicle, and acquire the vehicle information by reading the vehicle code by infrared laser radar. It can be constructed inexpensive system by using infrared laser radar. However, there is a problem that the number of code patterns is small, so the system cannot accommodate too many vehicles. In this paper, we propose a new code recognition method using time-sequence processing for infrared laser radar. We create a two-dimensional code by setting different type reflectors on vertical positions. Thereby we increase the number of code patterns. Through experiments, we demonstrate the effectiveness of the proposed method.
机译:近年来,随着汽车的普及,交通便利性得到了显着改善。然而,随着车辆的增加,通过信号,撞车行驶等的交通违章车辆正在增加。为了跟踪违规车辆,已经开发了使用图像处理技术和照相机的车牌识别系统。然而,该系统变得昂贵和复杂。为了解决这些问题,我们提出了使用红外激光雷达识别车辆代码的方法。我们建立了由反射镜在车辆上创建的一维代码,并通过红外激光雷达读取车辆代码来获取车辆信息。使用红外激光雷达可以构建廉价的系统。但是,存在代码模式的数量少的问题,因此系统不能容纳太多的车辆。本文提出了一种基于时间序列的红外激光雷达代码识别新方法。我们通过在垂直位置设置不同类型的反射器来创建二维代码。因此,我们增加了代码模式的数量。通过实验,我们证明了该方法的有效性。

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