惯性测量单元(MIMU)进行方向估计的10个传感器融合算法的MATLAB实现"/>
【源码】利用磁惯性测量单元(MIMU)进行方向估计的10个传感器融合算法的MATLAB实现
包含了多种传感器融合算法的优化和源代码,用于基于惯性和磁传感的方向估计。
Repository containing the optimization and source open code of several sensor fusion algorithms for estimating the orientation based on inertial and magnetic sensing.
Please, refer to
Caruso, M.; Sabatini, A.M.; Laidig, D.; Seel, T.; Knaflitz, M.; Della Croce, U.; Cereatti, A. Analysis of the Accuracy of Ten Algorithms for Orientation Estimation Using Inertial and Magnetic Sensing under Optimal Conditions: One Size Does Not Fit All. Sensors 2021, 21, 2543. .3390/s21072543
Authors: Marco Caruso (marco.caruso@polito.it) PolitoBIOMed Lab – Biomedical Engineering Lab and Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy; Last modified: 03/06/2021
This repository contains the following folders and script.
SFA: open MATLAB function of each sensor fusion algorithm;
Optimization codes: function to compute the absolute orientation errors for each unit. The orientation is computed with all the combination of parameters given as input;
function_utilities: includes some MATLAB functions helpful for the algorithms.
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【源码】利用磁惯性测量单元(MIMU)进行方向估计的10个传感器融合算法的MATLAB实现
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