陀螺仪
校准
传感器融合
惯性测量装置
计算机科学
融合
加速度计
惯性参考系
传感器阵列
角速度
同种类的
均方误差
基本事实
惯性导航系统
控制理论(社会学)
人工智能
工程类
物理
数学
航空航天工程
控制(管理)
哲学
机器学习
操作系统
统计
热力学
量子力学
语言学
作者
Dušan Nemec,Ján Andel,Vojtech Šimák,Jozef Hrbček
出处
期刊:Sensors
[MDPI AG]
日期:2023-07-15
卷期号:23 (14): 6431-6431
被引量:1
摘要
The article deals with sensor fusion and real-time calibration in a homogeneous inertial sensor array. The proposed method allows for both estimating the sensors' calibration constants (i.e., gain and bias) in real-time and automatically suppressing degraded sensors while keeping the overall precision of the estimation. The weight of the sensor is adaptively adjusted according to the RMSE concerning the weighted average of all sensors. The estimated angular velocity was compared with a reference (ground truth) value obtained using a tactical-grade fiber-optic gyroscope. We have experimented with low-cost MEMS gyroscopes, but the proposed method can be applied to basically any sensor array.
科研通智能强力驱动
Strongly Powered by AbleSci AI