CAJ | 학술논문

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。
위재축미교통배경하모의실현현실교통중GPS대차량적정위이급보조가사공능,문중이용RFID이급망락통신기술건립료축미지능차적실내정위계통,병재차기출상운용잡이만려파산법대축미지능차진행궤동목표근종,실현료축미차재축미교통배경하적실시정위현시。대량실험결과표명,해실내정위계통능구가고현시지능차적당전위치,정위오차소우0.07 m,만족축미교통배경하축미차적정위수구。
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.