Fast AHRS filter for accelerometer, magnetometer and gyroscope combination with separated sensor correstions
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F20%3A43960144" target="_blank" >RIV/49777513:23220/20:43960144 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.mdpi.com/1424-8220/20/14/3824" target="_blank" >https://www.mdpi.com/1424-8220/20/14/3824</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s20143824" target="_blank" >10.3390/s20143824</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Fast AHRS filter for accelerometer, magnetometer and gyroscope combination with separated sensor correstions
Popis výsledku v původním jazyce
A new predictor–corrector filter for attitude and heading reference systems (AHRS) using data from an orthogonal sensor combination of three accelerometers, three magnetometers and three gyroscopes is proposed. The filter uses the predictor—corrector structure, with prediction based on gyroscopes and independent correction steps for acceleration and magnetic field sensors. We propose two variants of the filter: (i) one using mathematical operations of special orthogonal group SO(3), that are accurate for nonlinear operations, for highest possible accuracy, and (ii) one using linearization of nonlinear operations for fast evaluation. Both approaches are quaternion-based filter realizations without redundant steps. The filters are compared to state of the art methods in this field on data recorded using low-cost microelectromechanical systems (MEMS) sensors with ground truth measured by the VICON optical system. Both filters achieved better accuracy than conventional methods at lower computational cost. The recorded data with ground truth reference and the source codes of both filters are publicly available.
Název v anglickém jazyce
Fast AHRS filter for accelerometer, magnetometer and gyroscope combination with separated sensor correstions
Popis výsledku anglicky
A new predictor–corrector filter for attitude and heading reference systems (AHRS) using data from an orthogonal sensor combination of three accelerometers, three magnetometers and three gyroscopes is proposed. The filter uses the predictor—corrector structure, with prediction based on gyroscopes and independent correction steps for acceleration and magnetic field sensors. We propose two variants of the filter: (i) one using mathematical operations of special orthogonal group SO(3), that are accurate for nonlinear operations, for highest possible accuracy, and (ii) one using linearization of nonlinear operations for fast evaluation. Both approaches are quaternion-based filter realizations without redundant steps. The filters are compared to state of the art methods in this field on data recorded using low-cost microelectromechanical systems (MEMS) sensors with ground truth measured by the VICON optical system. Both filters achieved better accuracy than conventional methods at lower computational cost. The recorded data with ground truth reference and the source codes of both filters are publicly available.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
<a href="/cs/project/EF18_069%2F0009855" target="_blank" >EF18_069/0009855: Elektrotechnické technologie s vysokým podílem vestavěné inteligence</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
SENSORS
ISSN
1424-8220
e-ISSN
—
Svazek periodika
20
Číslo periodika v rámci svazku
14
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
19
Strana od-do
1-19
Kód UT WoS článku
000557553600001
EID výsledku v databázi Scopus
2-s2.0-85087760681