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ISSASSIS, G. MARCOŇ, P. JANOUŠEK, J. VENKRBEC, L.
Original Title
Multi-sensor Data Analysis in Terms of Autonomous Drone Flight without GPS
Type
conference paper
Language
English
Original Abstract
The paper focuses on the movement of a drone without a GPS (Global Positioning System) signal. For this purpose, different types of sensors and their output data are described. In order to realize a flight without GPS, several steps need to be done such as data description and analysis and its correlation with GPS coordinates during the research. For data analysis, data from airspeed sensor, barometer, compass, GPS sensor, gyroscope sensor, accelerometer sensor and rangefinders sensor were used. Based on the correlation dependencies obtained, software for autonomous flight without GPS was designed.
Keywords
analysis, data fusion, UAV, sensors, GPS
Authors
ISSASSIS, G.; MARCOŇ, P.; JANOUŠEK, J.; VENKRBEC, L.
Released
3. 7. 2023
Publisher
Institute of Electrical and Electronics Engineers Inc.
ISBN
979-8-3503-1284-3
Book
2023 Photonics & Electromagnetics Research Symposium (PIERS)
2831-5804
Periodical
State
Czech Republic
Pages from
1316
Pages to
1322
Pages count
7
URL
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10221335
BibTex
@inproceedings{BUT183992, author="Grégoire {Issassis} and Petr {Marcoň} and Jiří {Janoušek} and Lukáš {Venkrbec}", title="Multi-sensor Data Analysis in Terms of Autonomous Drone Flight without GPS", booktitle="2023 Photonics & Electromagnetics Research Symposium (PIERS)", year="2023", journal="2023 Photonics & Electromagnetics Research Symposium (PIERS)", pages="7", publisher="Institute of Electrical and Electronics Engineers Inc.", doi="10.1109/PIERS59004.2023.10221335", isbn="979-8-3503-1284-3", issn="2831-5804", url="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10221335" }