orientation_estimation_sensor_fusion_algorithm_codes
Version 3.0 (40.5 KB) by
Marco Caruso
MATLAB implementations of 10 sensor fusion algorithms for orientation estimation using magneto-inertial measurement units (MIMU).
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 https://www.mdpi.com/1424-8220/21/7/2543
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. https://doi.org/10.3390/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.
When using these codes, please cite: M. Caruso, A. M. Sabatini, D. Laidig, T. Seel, M. Knaflitz, U. Della Croce, and A. Cereatti, “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, vol. 21, no. 7, p. 2543, Apr. 2021. https://www.mdpi.com/1424-8220/21/7/2543
Cite As
Marco Caruso (2024). orientation_estimation_sensor_fusion_algorithm_codes (https://github.com/marcocaruso/sensor_fusion_algorithm_codes/releases/tag/v3.0), GitHub. Retrieved .
MATLAB Release Compatibility
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R2020b
Compatible with any release
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Optimization codes
SFA/GUO
SFA/LIG/utils/custom
SFA/MAD
SFA/MAH
SFA/SAB
SFA/SEL
SFA/VAC
SFA/VAK
function_utilities
function_utilities/quaternion_library
Version | Published | Release Notes | |
---|---|---|---|
3.0 | See release notes for this release on GitHub: https://github.com/marcocaruso/sensor_fusion_algorithm_codes/releases/tag/v3.0 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.