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Authors: Christoph Kolhoff and Markus Kemper

Affiliation: ZME-Institute, UAS Diepholz (PHWT), Thüringer Str. 3a, Diepholz, Germany

Keyword(s): Bias Error, Gauss-Markov Process, MEMS Error Model.

Abstract: Autonomous functions for navigation and localization have piqued the attention and interest in many fields of science and engineering as automotive, aviation and robotics. Desiring high quantity of autonomous products, the used components are requested to be cheap. This often lead engineers or developers to apply micro-electromechanical systems that exhibit large errors. To use these sensors anyway, the acquired data must be processed online for error reduction. Hence there is a need for an algorithm that is easy to compute. The aim of this research is to develop a generic algorithm based on a Gauss-Markov process representing the drifting bias that can be parametrized easily and performs well on real-time systems. Therefore, the error model imitates the sensor’s output and removing the errors afterwards. Finally, a validation of the suggested algorithm is performed by comparing processed data of the micro-controller to data processed a posteriori on a high-performance computer.

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Paper citation in several formats:
Kolhoff, C. and Kemper, M. (2021). An Effective Method for Data Processing of Inertial Measurement Units Applied to Embedded Systems. In Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO; ISBN 978-989-758-522-7; ISSN 2184-2809, SciTePress, pages 558-565. DOI: 10.5220/0010540705580565

@conference{icinco21,
author={Christoph Kolhoff and Markus Kemper},
title={An Effective Method for Data Processing of Inertial Measurement Units Applied to Embedded Systems},
booktitle={Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO},
year={2021},
pages={558-565},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010540705580565},
isbn={978-989-758-522-7},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO
TI - An Effective Method for Data Processing of Inertial Measurement Units Applied to Embedded Systems
SN - 978-989-758-522-7
IS - 2184-2809
AU - Kolhoff, C.
AU - Kemper, M.
PY - 2021
SP - 558
EP - 565
DO - 10.5220/0010540705580565
PB - SciTePress

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