GPSenseCar—在移动车辆网络中使用实时GPS数据的防撞支持系统

Yin-Jun Chen, Ching-Chung Chen, Shou-Nian Wang, Han-En Lin, R. Hsu
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引用次数: 15

摘要

目前,有几款智能手机内置了GPS接收器,如摩托罗拉E1000、惠普iPAQ 6515和小米A700。装有GPS接收器的手机使其主人成为个人定位器。拟议的GPSenseCar项目是使用内置GPS接收器的WiFi智能手机为车辆用户开发避碰支持系统。基于光学的车辆避碰系统,如雷达或CCD相机,存在视觉角的缺点。基于WiFi和GPS的车辆避碰系统可以弥补光学避碰系统在高速行驶或能见度接近于零的情况下的不足。GPSenseCar通过计算其他用户手机发出的GPS数据,并通过驾驶员车辆的WiFi网络收集GPS数据,对移动物体进行定位,根据车主与其他移动车辆或乘客的相对距离,向驾驶员发出不同程度的警告声音,从而通过感知即将到来的危险来实现增强现实,避免碰撞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GPSenseCar -A Collision Avoidance Support System Using Real-Time GPS Data in a Mobile Vehicular Network
Currently, several smart phones have GPS receivre built- in, such as Motorola E1000, HP iPAQ 6515 and Mio A700. Equipped with GPS receiver, the mobile phone has enabled its owner to become a personal position locator. The proposed project GPSenseCar is to use the WiFi smart phone with the built-in GPS receiver to develop a collision avoidance support system for vehicle users. Optical based vehicle collision avoidance system, such as RADAR or CCD camera, has the drawback of vision corner. A vehicle collision avoidance system based on WiFi and GPS can compensate the drawbacks of optical based system to prevent the collision when vehicle is driving in high speed or under near-zero visibility. The GPSenseCar locates the moving objects by calculating on the GPS data, which was emitted from the other users¿ cell phone and collected by the WiFi network of the driver¿s vehicle, such that different level of warning sound can be provided to the driver according to the relative distance between vehicle owners and the other moving vehicles or passengers to create an Augment Reality by sensing the upcoming danger and avoiding collision.
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