陀螺仪
计算机科学
全球导航卫星系统应用
指南针
人工智能
机器人学
惯性测量装置
惯性导航系统
补偿(心理学)
传感器融合
方向(向量空间)
计算机视觉
系统工程
控制工程
工程类
地理
全球定位系统
机器人
航空航天工程
电信
地图学
心理学
几何学
数学
精神分析
作者
Ghufran Aqeel Asif,Nur Hazliza Ariffin,Norazreen Ab Aziz,Mohd Hadri Hafiz Mukhtar,Norhana Arsad
出处
期刊:Measurement
[Elsevier]
日期:2024-01-06
卷期号:226: 114121-114121
被引量:4
标识
DOI:10.1016/j.measurement.2024.114121
摘要
The orientation referencing of an object with respect to the Earth’s rotation frame has particular importance in various applications, including but not limited to drilling, autonomous vehicles, surveying, marine and robotics. A diverse range of advanced systems are available for True North determination, including Magnetic Compass, Global Navigation Satellite System (GNSS) and Inertial Sensor (Gyroscope) based systems. In this paper, we reviewed the performance capabilities, limitations and comparative analysis of various north-finding systems. Our review revealed that gyroscope-based systems have superiority due to their operational viability in both indoor and outdoor environments as well as their autonomy from satellite, weather and terrain dependencies. We thoroughly reviewed the Maytagging and the Carouseling methods of gyroscope-based systems and compared their contrasting characteristics. This review highlights research opportunities for performance enhancement using artificial intelligence, robust data purification techniques and active tilt compensation in gyroscope-based north finders.
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