缩微智能车室内定位系统研究  

Research on Indoor Position System for Autonomous Micro-vehicle

作　　者：玄建永 王京春[1] 陆耿[1] 江永亨[1] 毕建权[1] 

机构地区：[1]清华大学自动化系,北京100084

出　　处：《计算机技术与发展》2014年第1期1-4,共4页Computer Technology and Development

基　　金：清华大学科研基金(20111081071)

摘　　要：为在缩微交通环境下模拟实现现实交通中GPS对车辆的定位以及辅助驾驶功能,文中利用RFID以及网络通信技术建立了缩微智能车的室内定位系统,并在此基础上运用卡尔曼滤波算法对缩微智能车进行机动目标跟踪,实现了缩微车在缩微交通环境下的实时定位显示。大量实验结果表明,该室内定位系统能够可靠显示智能车的当前位置,定位误差小于0.07 m,满足缩微交通环境下缩微车的定位需求。In order to provide the function of vehicle position and driving assistance in micro traffic environment as that of GPS for primal size vehicle, an indoor position system is built for autonomous micro-vehicle using RFID and network communication technology. In the system, Kalman filter is introduced to track and position the target and micro-vehicle can be shown in real-time. Experiment results show that the system can track the position of micro-vehicle with an error smaller than 0.07 m in real time,which meets the position demands of micro-vehicle in micro traffic environment.

关 键 词：缩微智能车 室内定位 RFID定位 卡尔曼滤波 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]