arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1201.2630eess.SYcs.AIcs.SY
收藏

混合GPS-GSM汽车跟踪系统定位

Hybrid GPS-GSM Localization of Automobile Tracking System

Al-Balqa Applied University(巴尔卡应用大学)

Mohammad A. Al-Khedher

AI总结:

提出一种集成GPS-GSM系统,通过卡尔曼滤波提高GPS坐标精度,并利用谷歌地球实现车辆实时跟踪,用于车队管理、警车调度和防盗预警。

摘要:

提出了一种集成的GPS-GSM系统,利用谷歌地球应用跟踪车辆。远程模块具有安装在移动车辆上的GPS,用于识别其当前位置,并通过GSM将车辆数据端口获取的其他参数作为短信传输到接收站。接收到的GPS坐标使用卡尔曼滤波器进行滤波,以提高测量位置的精度。数据处理后,使用谷歌地球应用查看每辆车的当前位置和状态。该系统的目标是管理车队、警车分布和汽车防盗预警。

英文摘要:

An integrated GPS-GSM system is proposed to track vehicles using Google Earth application. The remote module has a GPS mounted on the moving vehicle to identify its current position, and to be transferred by GSM with other parameters acquired by the automobile's data port as an SMS to a recipient station. The received GPS coordinates are filtered using a Kalman filter to enhance the accuracy of measured position. After data processing, Google Earth application is used to view the current location and status of each vehicle. This goal of this system is to manage fleet, police automobiles distribution and car theft cautions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑