An Enhanced Fusion Strategy for Reliable Attitude Measurement Utilizing Vision and Inertial Sensors

An Enhanced Fusion Strategy for Reliable Attitude Measurement Utilizing Vision and Inertial Sensors

In this paper, we present a radial basis function (RBF) and cubature Kalman filter (CKF) based enhanced fusion strategy for vision and inertial integrated attitude measurement for sampling frequency discrepancy and divergence. First, the multi-frequency problem of the integrated system and the reaso...

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Bibliographic Details
Main Authors: Hanxue Zhang, Chong Shen, Xuemei Chen, Huiliang Cao, Donghua Zhao, Haoqian Huang, Xiaoting Guo
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Applied Sciences
Subjects:
attitude measurement
vision and inertial fusion
sampling frequency discrepancy
divergence
RBF
CKF
Online Access:https://www.mdpi.com/2076-3417/9/13/2656

Internet

https://www.mdpi.com/2076-3417/9/13/2656

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