magyar

Indoor localization simulation framework for optimized sensor placement to increase the position estimation accuracy

Kaló Ádám and Kincses Zoltán and Schäffer László and Pletl Szilveszter: Indoor localization simulation framework for optimized sensor placement to increase the position estimation accuracy.
ANNALES MATHEMATICAE ET INFORMATICAE, 51. pp. 29-39. ISSN 1787-5021 (2020)

[thumbnail of 29_39_Kalo.pdf]
Preview
 Text
29_39_Kalo.pdf - Published Version
Download (4MB) | Preview
Creators:
Kaló Ádám
Kincses Zoltán MTMT
Schäffer László MTMT
Pletl Szilveszter MTMT
Item Type: Journal Article
Journal or Publication Title: ANNALES MATHEMATICAE ET INFORMATICAE
Date: 2020
Volume: 51
Page Range: pp. 29-39
ISSN: 1787-5021
Faculty/Unit: Faculty of Science and Informatics
Institution: University of Szeged (2000-)
Language: English
MTMT rekordazonosító: 31398789
DOI azonosító: https://doi.org/10.33039/ami.2020.07.002
Date Deposited: 2024. Dec. 04. 11:17
Last Modified: 2024. Dec. 04. 11:17
URI: http://publicatio.bibl.u-szeged.hu/id/eprint/35287
Web of Science® Times Cited: 1 View citing articles in Web of Science®

Actions (login required)

View Item View Item
Download Statistics

Downloads

Downloads per month over past year

Technical information: publicatio AT ek.szte.hu
SZTE Repository of Publications is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.