Selecting and Combining UWB Localization Algorithms: Insights and Recommendations From a Multi-Metric Benchmark-Reference-Cited by-同舟云学术

Selecting and Combining UWB Localization Algorithms: Insights and Recommendations From a Multi-Metric Benchmark

Published:2024 Issue: Volume:12 Page:16881-16901
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Van Herbruggen Ben¹^ORCID,Gerwen Jono Vanhie-Van¹^ORCID,Luchie Stijn¹^ORCID,Durodié Yuri²,Vanderborght Bram²^ORCID,Aernouts Michiel³^ORCID,Munteanu Adrian⁴^ORCID,Fontaine Jaron¹^ORCID,Poorter Eli De¹^ORCID

Affiliation:

1. Department of Information Technology, IDLab Research Group, Ghent University–imec, Gent, Belgium

2. Brussels Human Robotic Research Center (BruBotics), Vrije Universiteit Brussel–imec, Brussels, Belgium

3. IDLab Research Group, Faculty of Applied Engineering, University of Antwerp–imec, Antwerpen, Belgium

4. ETRO Department, Vrije Universiteit Brussel–imec, Brussel, Belgium

Funder

Fund for Scientific Research Flanders, Belgium, Fonds voor Wetenschappelijk Onderzoek (FWO)-Vlaanderen, FWO-Strategisch basisonderzoek

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10413549.pdf?arnumber=10413549

Reference49 articles.

1. Bluetooth low energy indoor localization for large industrial areas and limited infrastructure

2. Positioning Method of Pedestrian Dead Reckoning Based on Human Activity Recognition Assistance

3. Toward 5G NR High-Precision Indoor Positioning via Channel Frequency Response: A New Paradigm and Dataset Generation Method

4. Motion Capture Technology in Industrial Applications: A Systematic Review

5. Confidence-rich Localization and Mapping based on Particle Filter for Robotic Exploration

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2. Single Anchor Localization by Combining UWB Angle-of-Arrival and Two-Way-Ranging: an Experimental Evaluation of the DW3000;2024 International Conference on Localization and GNSS (ICL-GNSS);2024-06-25

3. A UWB-Ego-Motion Particle Filter for Indoor Pose Estimation of a Ground Robot Using a Moving Horizon Hypothesis;Sensors;2024-03-28