Publication result detail

Prediction of Object Position from Aerial Images Utilising Neural Networks

GÖTTHANS, J.; GÖTTHANS, T.; MARŠÁLEK, R.

Original Title

Prediction of Object Position from Aerial Images Utilising Neural Networks

English Title

Prediction of Object Position from Aerial Images Utilising Neural Networks

Type

Paper in proceedings (conference paper)

Original Abstract

Prediction of Object Position from Aerial Images Utilising Neural Networks.

English abstract

Prediction of Object Position from Aerial Images Utilising Neural Networks.

Keywords

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

Key words in English

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

Authors

GÖTTHANS, J.; GÖTTHANS, T.; MARŠÁLEK, R.

RIV year

2022

Released

20.04.2021

ISBN

978-1-6654-1474-6

Book

2021 31st International Conference Radioelektronika (RADIOELEKTRONIKA)

Pages from

1

Pages to

5

Pages count

5

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"
}