A Direct Algorithm for Multi-Gyroscope Infield Calibration

In this paper, we address the problem of estimating the rotational extrinsics, as well as the scale factors of two gyroscopes rigidly mounted on the same device. In particular, we formulate the problem as a least-squares minimization and introduce a direct algorithm that computes the estimated quantities without any iterations, hence avoiding local minima and improving efficiency. Furthermore, we show that the rotational extrinsics are observable while the scale factors can be determined up to a global scale for general configurations of the gyroscopes. To this end, we also study special placements of the gyroscopes where a pair, or all, of their axes are parallel and analyze their impact on the scale factors’ observability. Lastly, we evaluate our algorithm in simulation and real-world experiments to assess its performance as a function of key motion and sensor characteristics.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/iros58592.2024.10801933
Citations
3
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
3.90
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article

A Direct Algorithm for Multi-Gyroscope Infield Calibration

Stergios I. Roumeliotis, Tianheng Wang
3 citations
Inertial Sensor and Navigation
3.90
article

A Direct Algorithm for Multi-Gyroscope Infield Calibration

Stergios I. Roumeliotis, Tianheng Wang
article en
3 citations

Abstract

In this paper, we address the problem of estimating the rotational extrinsics, as well as the scale factors of two gyroscopes rigidly mounted on the same device. In particular, we formulate the problem as a least-squares minimization and introduce a direct algorithm that computes the estimated quantities without any iterations, hence avoiding local minima and improving efficiency. Furthermore, we show that the rotational extrinsics are observable while the scale factors can be determined up to a global scale for general configurations of the gyroscopes. To this end, we also study special placements of the gyroscopes where a pair, or all, of their axes are parallel and analyze their impact on the scale factors’ observability. Lastly, we evaluate our algorithm in simulation and real-world experiments to assess its performance as a function of key motion and sensor characteristics.

Apple (United States) (US)
Openalex Percentile: Top 6%
Inertial Sensor and Navigation
3.90
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A Direct Algorithm for Multi-Gyroscope Infield Calibration — Stergios I. Roumeliotis, Tianheng Wang · (2024) | TGRS Research Map | TGRS