RIANN—A Robust Neural Network Outperforms Attitude Estimation Filters

RIANN—A Robust Neural Network Outperforms Attitude Estimation Filters

Inertial-sensor-based attitude estimation is a crucial technology in various applications, from human motion tracking to autonomous aerial and ground vehicles. Application scenarios differ in characteristics of the performed motion, presence of disturbances, and environmental conditions. Since state...

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Bibliographic Details
Main Authors:	Daniel Weber, Clemens Gühmann, Thomas Seel
Format:	Article
Language:	English
Published:	MDPI AG 2021-09-01
Series:	AI
Subjects:	attitude estimation nonlinear filters inertial sensors information fusion neural networks recurrent neural networks
Online Access:	https://www.mdpi.com/2673-2688/2/3/28

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