Multi-Frequency Data Fusion for Attitude Estimation Based on Multi-Layer Perception and Cubature Kalman Filter

Multi-Frequency Data Fusion for Attitude Estimation Based on Multi-Layer Perception and Cubature Kalman Filter

This paper proposes multi-frequency inertial and visual data fusion for attitude estimation. The proposed strategy is based on the locally weighted linear regression (LWLR), multi-layer perception (MLP), and cubature Kalman filter (CKF). First, we analyze the discrepant-frequency and the attitude di...

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Bibliographic Details
Main Authors: Xuemei Chen, Zheng Xuelong, Zijia Wang, Mengxi Li, Yangjiaxin Ou, Sun Yufan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Attitude estimation
multi-frequency
locally weighted linear regression
multi-layer perception
cubature Kalman filter
Online Access:https://ieeexplore.ieee.org/document/9165729/

Internet

https://ieeexplore.ieee.org/document/9165729/

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