Result Details

Prediction of Object Position from Aerial Images Utilising Neural Networks

GÖTTHANS, J.; GÖTTHANS, T.; MARŠÁLEK, R. Prediction of Object Position from Aerial Images Utilising Neural Networks. In 2021 31st International Conference Radioelektronika (RADIOELEKTRONIKA). 2021. p. 1-5. ISBN: 978-1-6654-1474-6.

Type

conference paper

Language

English

Authors

Götthans Jakub, Ing., UREL (FEEC)
Götthans Tomáš, doc. Ing., Ph.D., UREL (FEEC)
Maršálek Roman, prof. Ing., Ph.D., UREL (FEEC)

Abstract

Prediction of Object Position from Aerial Images Utilising Neural Networks.

Keywords

Aerial dataset, neural network, GNSS, yolo, retinanet, object detection, object GNSS estimation

Published

2021

Pages

1–5

Proceedings

2021 31st International Conference Radioelektronika (RADIOELEKTRONIKA)

Conference

31th International Conference Radioelektronika 2021

ISBN

978-1-6654-1474-6

DOI

10.1109/RADIOELEKTRONIKA52220.2021.9420193

UT WoS

000676146400003

EID Scopus

2-s2.0-85106049131

BibTeX

@inproceedings{BUT171694,
  author="Jakub {Götthans} and Tomáš {Götthans} and Roman {Maršálek}",
  title="Prediction of Object Position from Aerial Images Utilising Neural Networks",
  booktitle="2021 31st International Conference Radioelektronika (RADIOELEKTRONIKA)",
  year="2021",
  pages="1--5",
  doi="10.1109/RADIOELEKTRONIKA52220.2021.9420193",
  isbn="978-1-6654-1474-6"
}

Departments

Department of Radio Electronics (UREL)