Detail publikace

Multi-Sensor Data Fusion Methods for Localization in Complex Environments

IOANI, L. JURÁŇ, R.

Originální název

Multi-Sensor Data Fusion Methods for Localization in Complex Environments

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

This paper brings an insight into RTLS systems and techniques for leveraging advantages of combining several types of motion digitization, in this case UWB TDoA and IMU sensors in cooperation to deal with problems like non/line/of sight (NLOS) or multipath effects, causing errors in wireless-based systems. The fundamental principles of positioning methods are explained and a brief overview of literature is introduced.

Klíčová slova

ultra-wide band, UWB, inertial measurement unit, IMU, real time location system, RTLS

Autoři

IOANI, L.; JURÁŇ, R.

Vydáno

25. 4. 2023

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno

ISBN

978-80-214-6153-6

Kniha

Proceedings I of the 29th Student EEICT 2023 General papers

Edice

1

Strany od

72

Strany do

74

Strany počet

3

URL

BibTex

@inproceedings{BUT183904,
  author="Leida {Ioani} and Radovan {Juráň}",
  title="Multi-Sensor Data Fusion Methods for Localization in Complex Environments",
  booktitle="Proceedings I of the 29th Student EEICT 2023 General papers",
  year="2023",
  series="1",
  pages="72--74",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="978-80-214-6153-6",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_1.pdf"
}