首页> 外文会议>2019 IEEE 89th Vehicular Technology Conference >Vehicle-to-Vehicle Message Sender Identification for Co-Operative Driver Assistance Systems
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Vehicle-to-Vehicle Message Sender Identification for Co-Operative Driver Assistance Systems

机译:协同驾驶辅助系统的车对车消息发送者识别

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摘要

A growing number of vehicles are equipped with Vehicle-to-vehicle (V2V) communication modules (e.g., Dedicated Short Range Communications) that allow them to exchange messages over the network. The V2V communication is expected to improve the road safety by overcoming limitation of conventional Advanced Driver Assistance Systems (ADASs). For a safe feature using V2V communication-based applications, it is essential to identify sender vehicles since V2V communication is typically implemented using a broadcast mechanism. Especially here, our focus is to correctly determine whether the preceding vehicle is the sender of the received message or not in order to realize cooperative driving such as platooning. Vehicle location information obtained by an onboard GPS module is typically used for the identification. However, the GPS module often provides wrong location information due to the limited accuracy in a certain environment such as an urban road surrounded by tall buildings. To prevent this GPS error from causing misidentifications, we propose a novel method which additionally uses shared ranging sensor data and behavioral control of the ego vehicle. Simulation result shows that our proposed method successfully reduces the number of misidentifications by 64 % compared with a method which fully depends on GPS information.
机译:越来越多的车辆配备了车对车(V2V)通信模块(例如,专用短程通信),使它们可以通过网络交换消息。 V2V通信有望克服传统高级驾驶员辅助系统(ADAS)的局限性,从而改善道路安全。对于使用基于V2V通信的应用程序的安全功能,必须识别发送方车辆,因为V2V通信通常是使用广播机制实现的。特别是在这里,我们的重点是正确确定前面的车辆是否是接收到的消息的发送者,以便实现诸如排等的协同驾驶。由车载GPS模块获取的车辆位置信息通常用于识别。但是,由于在某些环境(例如,被高楼大厦包围的城市道路)中精度有限,GPS模块通常会提供错误的位置信息。为防止此GPS错误导致误识别,我们提出了一种新颖的方法,该方法另外使用共享的测距传感器数据和自我车辆的行为控制。仿真结果表明,与完全依赖GPS信息的方法相比,我们提出的方法成功地将误识别次数减少了64%。

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