Publication detail

Multi-Sensor Data Fusion Methods for Localization in Complex Environments

IOANI, L. JURÁŇ, R.

Original Title

Multi-Sensor Data Fusion Methods for Localization in Complex Environments

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

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

Authors

IOANI, L.; JURÁŇ, R.

Released

25. 4. 2023

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-6153-6

Book

Proceedings I of the 29th Student EEICT 2023 General papers

Edition

1

Pages from

72

Pages to

74

Pages count

3

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_1.pdf

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"
}