Dynamic Vehicle Full-View Driver Assistance System in Vehicular Networks

Tsung-Lin Wu, Chen-Da Tsai, Chao-Chun Yang
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引用次数: 1

Abstract

The Cooperative Collision Avoidance Warning System (CCAWS) for vehicle safety in vehicular networks has become very important in recent years. However, the advanced positioning methods will affect the accuracy of the CCAWS warning information. Hence, we propose a self-correction of the vehicle-based positioning method in vehicular networks. Moreover, we design a dynamic vehicle full-view driver assistance system on the Android operating system for vehicular networks. The dynamic vehicle full-view driver assistance system can be shown on a monitor and the neighboring vehicles can also be drawn on the map. Users can easily understand the road conditions. Moreover, the application can exchange traffic information with other vehicles and the map can also show vehicles which are out of range. Furthermore, the application can show the time to collision between two vehicles.
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车辆网络中的动态车辆全视角驾驶员辅助系统
近年来,协同避碰预警系统(CCAWS)对车辆安全的重要性日益凸显。然而,先进的定位方法会影响CCAWS预警信息的准确性。因此,我们提出了一种基于车辆网络的自校正定位方法。此外,我们还针对车联网在Android操作系统上设计了一款动态车辆全视角驾驶员辅助系统。动态车辆全视驾驶员辅助系统可以在监视器上显示,并且可以在地图上绘制附近的车辆。用户可以很容易地了解路况。此外,应用程序可以与其他车辆交换交通信息,地图也可以显示超出范围的车辆。此外,该应用程序还可以显示两辆车碰撞的时间。
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