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Vehicle-to-Vehicle Message Sender Identification for Co-Operative Driver Assistance Systems

机译:用于合作驾驶员辅助系统的车辆到车辆消息发件人识别

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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有车辆到车辆(V2V)通信模块(例如,专用短程通信),允许它们交换网络上的消息。 V2V通信预计通过克服传统的先进驾驶员辅助系统(ADASS)来改善道路安全性。对于使用基于V2V通信的应用的安全功能,必须识别发件人车辆,因为V2V通信通常使用广播机制实现。特别是在这里,我们的重点是正确地确定前车是否是所接收的消息的发送者,以便实现诸如排中的合作驾驶。由板载GPS模块获得的车辆位置信息通常用于识别。然而,GPS模块通常由于特定环境中的有限精度提供了错误的位置信息,例如高层建筑所包围的城市道路。为了防止这种GPS误差导致错误识别,我们提出了一种新颖的方法,该方法还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,与完全取决于GPS信息的方法相比,我们所提出的方法将误识别的数量减少64%。

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