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A novel GPS/DVL/MEMS-INS smartphone sensors integrated method to enhance autonomous navigation, guidance and control system of AUSVs based on ADSF Combined Filter

机译:新型GPS / DVL / MEMS-INS智能手机传感器集成方法,以增强基于ADSF组合滤波器的AUSV的自主导航,引导和控制系统

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A reliable navigation, guidance and control system of Autonomous Unmanned Surface Vehicle (AUSV) is the major challenge for most researchers, especially when Global Positioning System (GPS) signal outages or its accuracy decreases in some places on the Earth's surface. Our paper introduces a novel navigation, guidance and control system of AUSV as follows; the proposed navigation system of AUSV is based on integrated Micro Electric Mechanical System -Inertial Navigation System (MEMS-INS) smartphone sensors with GPS and Doppler Velocity Log (DVL) to correct AUSV navigation system errors. The guidance and control system of AUSV is based on Ultrasonic sensors, Raspberry Pi microcontroller, and digital compass sensor. The ultrasonic sensor is used to detect and avoid obstacles on the path of AUSV. The Raspberry Pi microcontroller and digital compass are used to guide AUSV in the required path.
机译:自主无人曲面车辆(AUSV)的可靠导航,指导和控制系统是大多数研究人员的主要挑战,特别是当全球定位系统(GPS)信号中断或其精度在地球表面上的某些地方减少时。 我们的论文介绍了AUSV的新型导航,指导和控制系统,如下所示; AUSV的建议导航系统基于集成的微电器系统 - 智能手机传感器,具有GPS和多普勒速度日志(DVL),以纠正AUSV导航系统错误。 AUSV的引导和控制系统基于超声波传感器,覆盆子PI微控制器和数字罗盘传感器。 超声波传感器用于检测和避免AUSV路径上的障碍物。 覆盆子PI微控制器和数字罗盘用于指导所需路径中的AUSV。

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