惯性测量装置
校准
加速度计
陀螺仪
惯性基准装置
惯性参考系
计量单位
计算机科学
卡尔曼滤波器
比例因子(宇宙学)
惯性导航系统
工程类
人工智能
航空航天工程
物理
数学
统计
空间的度量展开
操作系统
量子力学
暗能量
宇宙学
作者
Shashi Poddar,Vipan Kumar,Amod Kumar
出处
期刊:Journal of Dynamic Systems Measurement and Control-transactions of The Asme
[ASM International]
日期:2016-08-18
卷期号:139 (1)
被引量:103
摘要
Inertial measurement unit (IMU) comprising of the accelerometer and gyroscope is prone to various deterministic errors like bias, scale factor, and nonorthogonality, which need to be calibrated carefully. In this paper, a survey has been carried out over different calibration techniques that try to estimate these error parameters. These calibration schemes are discussed under two broad categories, that is, calibration with high-end equipment and without any equipment. Traditional calibration techniques use high-precision equipment to generate references for calibrating inertial sensors and are generally laboratory-based setup. Inertial sensor calibration without the use of any costly equipment is further studied under two subcategories: ones based on multiposition method and others with Kalman filtering framework. Later, a brief review of vision-based inertial sensor calibration schemes is also provided in this work followed by a discussion which indicates different shortcomings and future scopes in the area of inertial sensor calibration.
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