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

Yusuke Shikiji, Keita Watari, K. Tsudaka, T. Wada, H. Okada
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引用次数: 3

Abstract

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.
车载红外激光雷达车辆信息采集新方法
近年来,由于汽车的普及,交通便利程度得到了显著提高。然而,闯红灯、肇事逃逸等交通违法行为随着车辆数量的增加而增加。为了跟踪违章车辆,利用图像处理技术和摄像头开发了车牌识别系统。然而,这个系统变得昂贵和复杂。为了解决这些问题,我们提出了一种利用红外激光雷达识别车辆代码的方法。我们在车辆上设置由反射器产生的一维代码,并通过红外激光雷达读取车辆代码获取车辆信息。利用红外激光雷达可以构建价格低廉的系统。但是,有一个问题是代码模式的数量很少,所以系统不能容纳太多的车辆。本文提出了一种基于时间序列处理的红外激光雷达码识别方法。我们通过在垂直位置设置不同类型的反射器来创建一个二维码。因此,我们增加了代码模式的数量。通过实验验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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