Publication detail

Multi-sensor Data Analysis in Terms of Autonomous Drone Flight without GPS

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)

ISBN

2831-5804

Periodical

2023 Photonics & Electromagnetics Research Symposium (PIERS)

State

Czech Republic

Pages from

1316

Pages to

1322

Pages count

7

URL

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"
}