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A Hybrid Fusion Algorithm for Integrated INS/UWB Navigation and Its Application in Vehicle Platoon Formation Control

机译:集成INS / UWB导航的混合融合算法及其在车辆排列控制中的应用

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The vehicle positioning technology is playing an important role in Cooperative Vehicle Infrastructure System (CVIS). In those single positioning modes, the precision of wireless positioning is greatly affected by the environment. However, the accumulative errors of inertial navigation system (INS) and positioning can not be eliminated. In this paper, a hybrid fusion algorithm based on UWB (Ultra Wide Band) and INS is proposed and applied to the vehicle platoon formation control system. The hybrid fusion algorithm can overcome the shortcomings of non-line-of-sight (NLOS) problem in UWB positioning algorithm and accumulative errors of INS. This algorithm can also significantly enhance positioning accuracy in vehicle platoon formation control. The application scene consists of three types: road scene, junction scene and parking lot scene. The hybrid fusion algorithm can be used in combination with different scenarios to ensure the smooth operation of the vehicle platoon.
机译:车辆定位技术在协同车辆基础设施系统(CVIS)中发挥着重要作用。在这些单一定位模式中,无线定位的精度受到环境的大大影响。然而,无法消除惯性导航系统(INS)和定位的累积误差。本文提出了一种基于UWB(超宽带)和INS的混合融合算法,并应用于车辆排列控制系统。混合融合算法可以克服UWB定位算法中的非视线(NLOS)问题的缺点和INS的累积误差。该算法还可以显着提高车辆排放控制中的定位精度。申请场景由三种类型组成:公路场景,交叉路口场景和停车场场景。混合融合算法可以与不同的场景结合使用,以确保车辆排的平稳运行。

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