车路协同系统中的车辆精确定位方法研究

发布时间：2018-01-19 19:26

本文关键词： 交通工程车辆精确定位加权最小二乘法信息标识运动方向成像装置　出处：《公路交通科技》2017年05期 　论文类型：期刊论文

【摘要】：为了解决车路协同系统中车辆定位误差较大的问题,提出了一种基于信息标识识别的车辆定位方法。该方法设计了一种能够储存道路信息的信息标识,并在路面上设置信息标识。当车辆驶过标识时,安装于车上的成像装置实现对信息标识图像的拾取。利用加权最小二乘法对图像进行直线拟合得到车辆的运动方向,识别图像信息得到车辆的精确位置,结合车辆对于自身运动状态的感知,从而实现车辆的精确定位。试验结果表明,车辆的运动方向检测误差仅为0.71°,定位误差仅为2.17 cm。可见该方法在车辆定位上更为直接、准确、成本低廉。
[Abstract]:In order to solve the problem of large vehicle positioning error in vehicle-road cooperative system, a vehicle location method based on information identification is proposed, which can store road information. And set up the information mark on the road surface. When the vehicle passes through the sign. The imaging device installed in the vehicle realizes the pickup of the information identification image. The weighted least square method is used to fit the image straight line to get the moving direction of the vehicle and to recognize the image information to get the exact position of the vehicle. Combined with the perception of the vehicle's motion state, the accurate positioning of the vehicle is realized. The experimental results show that the detection error of the moving direction of the vehicle is only 0.71 掳. The positioning error is only 2.17 cm. It can be seen that this method is more direct, accurate and low cost in vehicle positioning.
【作者单位】：中山大学智能交通研究中心;广东省智能交通系统重点实验室;
【基金】：广东省重大专项基金项目(2015B010110005)
【分类号】：U495
【正文快照】： 0引言车路协同系统(Cooperative Vehicle InfrastructureSystem,CVIS)是目前智能交通系统的前沿技术,是采用传感探测等技术获取车辆和道路的信息,通过先进的无线通信和新一代互联网技术实现车车、车路动态实时信息交互,并在全时空动态交通信息采集与融合的基础上开展车辆主动

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