Detail výsledku

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.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Götthans Jakub, Ing., UREL (FEKT)
Götthans Tomáš, doc. Ing., Ph.D., UREL (FEKT)
Maršálek Roman, prof. Ing., Ph.D., UREL (FEKT)
Abstrakt

Prediction of Object Position from Aerial Images Utilising Neural Networks.

Klíčová slova

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

Rok
2021
Strany
1–5
Sborník
2021 31st International Conference Radioelektronika (RADIOELEKTRONIKA)
Konference
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"
}
Pracoviště
Ústav radioelektroniky (UREL)
Nahoru