Happy to share that the extension of our Best Axes Composition paper (selected from papers at European Conference of Mobile Robots 2021) is published in a special issue of Robotics and Autonomous Systems Journal (Q1).
M. Faizullin and G. Ferrer”Best Axes Composition extended: Multiple gyroscopes and accelerometers data fusion to reduce systematic error”, AURO 2022
https://www.sciencedirect.com/science/article/pii/S0921889022002056 – Available for free read/download till the end of Jan 2023.
https://arxiv.org/abs/2209.08895 (https://arxiv.org/abs/2209.08895)
The paper is about Multiple IMU data fusion not by averaging data but by choosing more accurate instant data from all axes of all IMUs. As a result – 20% accuracy improvement of pose estimation comparing to fusion by classical averaging described in the paper of Zhang et al.