里程表
惯性测量装置
航位推算
扩展卡尔曼滤波器
加速度计
流离失所(心理学)
惯性导航系统
卡尔曼滤波器
工程类
控制理论(社会学)
计算机科学
模拟
计算机视觉
全球定位系统
人工智能
惯性参考系
物理
操作系统
电信
量子力学
心理学
心理治疗师
控制(管理)
作者
Yibin Wu,Xiaoji Niu,Jian Kuang
出处
期刊:IEEE Transactions on Vehicular Technology
[Institute of Electrical and Electronics Engineers]
日期:2021-11-01
卷期号:70 (11): 11193-11203
被引量:14
标识
DOI:10.1109/tvt.2021.3102409
摘要
A self-contained autonomous dead reckoning (DR) system is desired to complement the Global Navigation Satellite System (GNSS) for land vehicles, for which the odometer-aided inertial navigation system (ODO/INS) is a classical solution. In this study, we use a wheel-mounted MEMS IMU (Wheel-IMU) to substitute the odometer, and further, investigate three types of measurement models, including the velocity measurement, displacement increment measurement, and contact point zero-velocity measurement, in the Wheel-IMU based DR system. The measurement produced by the Wheel-IMU along with the non-holonomic constraint (NHC) are fused with INS through an error-state extended Kalman filter (EKF). Theoretical discussion and field tests illustrate the feasibility and equivalence of the three measurements in terms of the overall DR performance. The maximum horizontal position drifts are all less than 2% of the total travelled distance. Additionally, the displacement increment measurement model is less sensitive to the lever arm error between the Wheel-IMU and the wheel center.
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