Next Article in Journal
UAS Navigation with SqueezePoseNet—Accuracy Boosting for Pose Regression by Data Augmentation
Previous Article in Journal
Open Source and Independent Methods for Bundle Adjustment Assessment in Close-Range UAV Photogrammetry
Article Menu
Issue 1 (March) cover image

Export Article

Open AccessArticle

Tightly-Coupled Joint User Self-Calibration of Accelerometers, Gyroscopes, and Magnetometers

Xsens Technologies, Pantheon 6a, 7521 PR Enschede, The Netherlands
*
Author to whom correspondence should be addressed.
Received: 23 October 2017 / Revised: 30 December 2017 / Accepted: 31 December 2017 / Published: 9 February 2018
Full-Text   |   PDF [4326 KB, uploaded 9 February 2018]   |  

Abstract

Inertial measurement units (IMUs) are fundamental for attitude control of drones. With the advancements in micro-electro-mechanical systems (MEMS) fabrication processes, size, power consumption, and price of these sensors have reduced significantly and attracted many new applications. However, this came at the expense of sensors requiring frequent recalibration, as they are highly contaminated with systematic errors. This paper presents a novel method to jointly calibrate the accelerometer, gyroscope, and magnetometer triad in a MEMS IMU without additional equipment. Opportunistic zero change in velocity and position updates, and inclination updates were used in conjunction with relative orientation updates from magnetometers in a robust batch least-squares adjustment. Solutions from the proposed self-calibration were compared to existing calibration methods. Empirical results suggest that the new method is robust against magnetic distortions and can achieve performance similar to a specialized calibration that uses a more accurate (and expensive) IMU as reference. The jointly estimated accelerometer and gyroscope calibration parameters can deliver a more accurate dead-reckoning solution than the popular multi-position calibration method (i.e., 54% improvement in orientation accuracy) by recovering the gyroscope scale error and other systematic errors. In addition, it can improve parameter observability as well as reduce calibration time by incorporating dynamic data with static orientations. The proposed calibration was also applied on-site pre-mission by simply waving the sensor by hand and was able to improve the orientation tracking accuracy by 73%. View Full-Text
Keywords: calibration; accelerometers; gyroscopes; magnetometers; optimization; inertial navigation; dead-reckoning calibration; accelerometers; gyroscopes; magnetometers; optimization; inertial navigation; dead-reckoning
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Chow, J.C.K.; Hol, J.D.; Luinge, H. Tightly-Coupled Joint User Self-Calibration of Accelerometers, Gyroscopes, and Magnetometers. Drones 2018, 2, 6.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Drones EISSN 2504-446X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top