IMUNet: Efficient Regression Architecture for Inertial IMU Navigation and Positioning

• Published in: IEEE transactions on instrumentation and measurement Vol. 73; pp. 1 - 13
• Main Authors: Zeinali, Behnam, Zanddizari, Hadi, Chang, Morris J.
• Format: Journal Article
• Language: English
• Published: New York IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Application programming interface; Artificial neural networks; Computer architecture; Data collection; Data models; Data-driven methods; Datasets; deep learning; Efficiency; Inertial coordinates; inertial measurement unit (IMU) measurement; Inertial navigation; Inertial platforms; Neural networks; Performance evaluation; Robot sensing systems; sensor fusion; Smart phones; Smartphones

Data-driven method for inertial navigation and positioning has absorbed attention in recent years and it outperforms all its competitor methods in terms of accuracy and efficiency. This article introduces a new neural architecture framework called IMUNet which is accurate and efficient for inertial...