CAJ | 학술논문

以“‘飞思卡尔杯’智能车比赛”磁导航自控智能车为分析和研究对象，提出了一种两传感器、大前瞻路径识别方法的路径监测系统，运用传感器八字型布局，信号多次滤波，数据归一算法，加宽路径检测弥补算法，数据二次拟合，实现路径监测距离更远、监测尺寸更宽、车体定位更准，使智能车路径监测自控系统等得到进一步优化，为大前瞻路径监测和高速行驶的磁导航智能车提供理论依据和试验保障。
이“‘비사잡이배’지능차비새”자도항자공지능차위분석화연구대상，제출료일충량전감기、대전첨로경식별방법적로경감측계통，운용전감기팔자형포국，신호다차려파，수거귀일산법，가관로경검측미보산법，수거이차의합，실현로경감측거리경원、감측척촌경관、차체정위경준，사지능차로경감측자공계통등득도진일보우화，위대전첨로경감측화고속행사적자도항지능차제공이론의거화시험보장。
Taking a“Freescale Cup lntel igent Car Competition” magnetic navigation self-control ed intel igent vehicle for object of a-nalysis and research, this paper proposes a path monitoring system with two inductance long-distance monitoring method of path i-dentification. The splayed layout sensors, signal multiple filter, the data normalization algorithm, the offset algorithm widened the path monitoring, and conic approach technique are used in this system to achieve the longer path monitoring distance, wider monito-ring size, more accurate vehicle position. so that the intel igent car road monitoring system is further optimized and the theory and test security are provided for the intel igent vehicles of the long-distance path monitoring and high-speed magnetic navigation.