Improving EKF-Based IMU/GNSS Fusion Using Machine Learning for IMU Denoising

In the realm of navigation systems, Inertial Measurement Unit (IMU) sensors play a pivotal role. The advent of Micro-Electro-Mechanical System (MEMS) sensors has introduced a lightweight and cost-effective alternative for IMUs. However, MEMS IMUs come with the challenge of larger stochastic errors t...

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Autors principals:	Rohan Kumar Reddy Damagatla, Mohamed Atia
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	CatBoost convolution neural networks extended Kalman filter GNSS IMU inverse kinematics
Accés en línia:	https://ieeexplore.ieee.org/document/10630785/
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