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Benefits of a Tightly-coupled GNSS/INS Real-Time Solution in Urban Scenarios and Harsh Environments

机译:在城市情景和恶劣环境中紧密耦合的GNSS / INS实时解决方案的好处

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The paper deals with the development of a Robust Position Unit (RPU) based on the real-time implementation of an advanced positioning algorithm. The RPU uses a tightly-coupled technique between a mass market single frequency GNSS chipset with a low cost Inertial Measurement Unit (IMU) based on Micro Electro-Mechanical Systems and an odometer. The tight integration algorithm has been obtained through the design of a complex Extended Kalman Filter (EKF). Its performance has been verified running the designed real-time algorithm in different challenging environments: an urban scenario characterized by narrow streets, few satellites in view and tree-lined avenues. A second harsh environment is represented by a mountain area where the vehicle has driven through long tunnels, overpasses and sharp road bends. The tests showed how a tight integration algorithm, designed by using raw data from only low-cost sensors, can provide real advantages at a price of careful customizations and adaptations that take into account the particular use and environment.
机译:本文根据先进定位算法的实时实现,涉及强大的位置单元(RPU)的开发。 RPU在大规模市场单频GNSS芯片组之间采用紧密耦合技术,基于微机电系统和10仪,具有低成本惯性测量单元(IMU)的低成本惯性测量单元(IMU)。通过设计复杂的扩展卡尔曼滤波器(EKF)来获得紧密集成算法。它的性能已经过验证在不同的具有挑战性环境中运行设计的实时算法:城市情景,其特征在于狭窄的街道,少量卫星在视野和树木衬里的途径。第二个苛刻的环境由车辆通过长隧道,立交桥和尖锐的道路弯曲驱动的山地。该测试显示了如何通过使用低成本传感器使用原始数据设计的紧密集成算法,可以以仔细的定制和适应考虑特定使用和环境的适应性提供真正的优势。

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