Title: | Nine-Axis IMU sensor fusion using the AHRS algorithm and neural networks |
Authors: | Krzysztof, Kolanowski Świetlicka, Aleksandra Majchrzycki, Mateusz Gugała, Karol Karoń, Igor Rybarczyk, Andrzej |
Citation: | ISTET 2013: International Symposiumon Theoretical Electrical Engineering: 24th – 26th June 2013: Pilsen, Czech Republic, p. III-23-III-24. |
Issue Date: | 2013 |
Publisher: | University of West Bohemia |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://hdl.handle.net/11025/11492 |
ISBN: | 978-80-261-0246-5 |
Keywords: | zpracování dat;umělá neuronová síť;fúze senzorů |
Keywords in different language: | data processing;artificial neural network;sensor fusion |
Abstract: | This paper presents data processing method for Attitude Heading and Reference System (AHRS) based on Artificial Neural Networks (ANN). The system consist of MEMS (Micro Electro-Mechanical Systems) based on Inertial Measurement Unit (IMU) consisting of tri-axis gyroscopes, accelerometers and magnetometers providing three dimensional linear accelerations and angular rates. Training data was generated by simulation fusion of samples collected during the flight of Quadcopter. The presented results shows proper functioning of the neural network. Moreover, the presented system provide the possibility to easily add other sensors e.g. GPS, in order to achieve better performance. |
Rights: | © University of West Bohemia |
Appears in Collections: | ISTET 2013 ISTET 2013 ISTET 2013 |
Files in This Item:
File | Description | Size | Format | |
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Krzysztof.pdf | Plný text | 403,02 kB | Adobe PDF | View/Open |
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http://hdl.handle.net/11025/11492
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