Sensor Fusion Devs for Angle Estimation on Inertial Measurement Unit.

Winter Simulation Conference(2023)

引用 0|浏览1
暂无评分
摘要
We explore the application of a Sensor Fusion Framework, called SAFE (Simple, Applicable, Extensible, and Flexible) to improve the reliability of measurements obtained from Inertial Measurement Unit (IMU) sensors. SAFE is built using a DEVS specification and the Cadmium tool. Measuring angular position is a difficult task due to the unreliability of gyroscopes and accelerometers, two sensors widely used to measure angles. Although angular position can be measured using imaging systems, these are costly, and not ideal for handheld and portable devices. An alternative solution is to use sensor fusion to fuse the readings of both accelerometer and gyroscope, obtaining reliable readings. We show the application of the SAFE methodology and the results of our case study showing the potential of this method.
更多
查看译文
关键词
Inertial Measurement Unit,Mobile Devices,Angular Position,Reliable Reads,Magnetic Field,Low-pass,Angular Velocity,Kalman Filter,High-pass Filter,Pass Filter,Fault-tolerant,Majority Voting,Data Fusion,Accelerometer Data,Combination Of Algorithms,Sensor Readings,Fusion Algorithm,Local Noise,Actual Angle,Sensor Layer,Fusion Layer,Actual Hardware,Inertial Measurement Unit Data,Major Elements,Model Formulation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要