An Optimal Fusion Method of Multiple Inertial Measurement Units Based on Measurement Noise Variance Estimation
Author:
Affiliation:
1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
2. School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China
Funder
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10032973/09994677.pdf?arnumber=9994677
Reference27 articles.
1. Data Fusion Algorithms for Multiple Inertial Measurement Units
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5. Sensor-Failure-Resilient Multi-IMU Visual-Inertial Navigation
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