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Smart Real-Time Autonomous Navigation System using integration of MEMS-based Low-Cost IMU/GPS

机译:智能实时自治导航系统,使用基于MEMS的低成本IMU / GPS的集成

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This paper aims to design a real time autonomous navigation system (ANS) using low cost electronics devices with significant navigation accuracy levels. This system could be practically implemented inside any vehicle to enable autonomous movement. The proposed ANS is implemented through an open loop decentralized loosely integration approach of an Inertial Measurement Unit (IMU) and a Global Positioning System (GPS). Due its modularity, the 6 degree of freedom (DOF) MPU6050 breakout board is used to be the IMU in the system. The GPS receiver is selected to be the Skylab SKM53 module. Appropriate real time navigation accuracy levels are obtained through the correction of Position and Velocity (PV) readings coming out from the GPS. Two Extended Kalman Filters (EKFs) are used to provide the corrected PV readings. The filters are implemented through two state machines that are running simultaneously in a concurrent form on an Atmel ATmega16 microcontroller which is the main controller of the proposed ANS. The system also includes 3DRobotics 915 MHz wireless telemetry module to grant the real time processing of the navigation data. The system accuracy is validated on a real vehicular trajectory. The Root Mean Square Error (RMSE) values for the implemented ANS in ENU directions, have reached 0.254, 0.337 and 0.462 meters respectively, which is notably competitive with other recent related work.
机译:本文旨在通过设计与显著导航精度水平的低成本电子产品的实时自主导航系统(ANS)。该系统可以在任何车辆内部切实执行,使自主运动。所提出的ANS通过开环实现松散分散的惯性测量单元(IMU)和全球定位系统(GPS)的集成方法。由于其模块性,该6自由度(DOF)MPU6050接口板被用于在系统中的IMU。 GPS接收器被选择为天空实验室SKM53模块。适当实时导航精度水平通过位置和从GPS脱出速度(PV)读数的校正而获得。两个扩展卡尔曼滤波器(EKFs)用于提供校正的PV读数。该过滤器通过在上爱特梅尔ATmega16的微控制器,它是所提出的ANS的主控制器并发形式同时运行两个状态机来实现。该系统还包括3DRobotics 915兆赫无线遥测模块授予导航数据的实时处理。该系统精度验证在真实的车辆轨迹。均方根误差在ENU方向实施ANS(RMSE)值,分别达到0.254,0.337和0.462米,这与近期其他相关工作特别是有竞争力的。

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