Publication detail

DEEP NEURAL NETWORK FOR AUTONOMOUS UAV NAVIGATION

KLOUDA, J.

Original Title

DEEP NEURAL NETWORK FOR AUTONOMOUS UAV NAVIGATION

Type

conference paper

Language

English

Original Abstract

The project deals with autonomous drone control. A neural network is used to create autonomous control for object recognition. This recognition is performed with a ground station, where the computer evaluates the position of the drone and autonomously controls the flight of the drone through the detection of objects.

Keywords

UAV, drone, Python, autonomous navigation, object recognation

Authors

KLOUDA, J.

Released

27. 4. 2021

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-5943-4

Book

PROCEEDINGS II OF THE 27TH STUDENT EEICT 2021 selected papers

Edition

1

Pages from

17

Pages to

20

Pages count

4

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2021_sbornik_2_v3_DOI.pdf

BibTex

@inproceedings{BUT183888,
  author="Jan {Klouda}",
  title="DEEP NEURAL NETWORK FOR AUTONOMOUS UAV NAVIGATION",
  booktitle="PROCEEDINGS II OF THE 27TH STUDENT EEICT 2021 selected papers",
  year="2021",
  series="1",
  pages="17--20",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  doi="10.13164/eeict.2021.17",
  isbn="978-80-214-5943-4",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2021_sbornik_2_v3_DOI.pdf"
}