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A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives

Efficient localisation plays a vital role in many modern applications of Unmanned Ground Vehicles (UGV) and Unmanned Aerial Vehicles (UAVs), which contributes to improved control, safety, power economy, etc. The ubiquitous 5G NR (New Radio) cellular network will provide new opportunities to enhance...

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Detalles Bibliográficos
Autores principales: Kabiri, Meisam, Cimarelli, Claudio, Bavle, Hriday, Sanchez-Lopez, Jose Luis, Voos, Holger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824862/
https://www.ncbi.nlm.nih.gov/pubmed/36616782
http://dx.doi.org/10.3390/s23010188
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author Kabiri, Meisam
Cimarelli, Claudio
Bavle, Hriday
Sanchez-Lopez, Jose Luis
Voos, Holger
author_facet Kabiri, Meisam
Cimarelli, Claudio
Bavle, Hriday
Sanchez-Lopez, Jose Luis
Voos, Holger
author_sort Kabiri, Meisam
collection PubMed
description Efficient localisation plays a vital role in many modern applications of Unmanned Ground Vehicles (UGV) and Unmanned Aerial Vehicles (UAVs), which contributes to improved control, safety, power economy, etc. The ubiquitous 5G NR (New Radio) cellular network will provide new opportunities to enhance the localisation of UAVs and UGVs. In this paper, we review radio frequency (RF)-based approaches to localisation. We review the RF features that can be utilized for localisation and investigate the current methods suitable for Unmanned Vehicles under two general categories: range-based and fingerprinting. The existing state-of-the-art literature on RF-based localisation for both UAVs and UGVs is examined, and the envisioned 5G NR for localisation enhancement, and the future research direction are explored.
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spelling pubmed-98248622023-01-08 A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives Kabiri, Meisam Cimarelli, Claudio Bavle, Hriday Sanchez-Lopez, Jose Luis Voos, Holger Sensors (Basel) Review Efficient localisation plays a vital role in many modern applications of Unmanned Ground Vehicles (UGV) and Unmanned Aerial Vehicles (UAVs), which contributes to improved control, safety, power economy, etc. The ubiquitous 5G NR (New Radio) cellular network will provide new opportunities to enhance the localisation of UAVs and UGVs. In this paper, we review radio frequency (RF)-based approaches to localisation. We review the RF features that can be utilized for localisation and investigate the current methods suitable for Unmanned Vehicles under two general categories: range-based and fingerprinting. The existing state-of-the-art literature on RF-based localisation for both UAVs and UGVs is examined, and the envisioned 5G NR for localisation enhancement, and the future research direction are explored. MDPI 2022-12-24 /pmc/articles/PMC9824862/ /pubmed/36616782 http://dx.doi.org/10.3390/s23010188 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Kabiri, Meisam
Cimarelli, Claudio
Bavle, Hriday
Sanchez-Lopez, Jose Luis
Voos, Holger
A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives
title A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives
title_full A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives
title_fullStr A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives
title_full_unstemmed A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives
title_short A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives
title_sort review of radio frequency based localisation for aerial and ground robots with 5g future perspectives
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824862/
https://www.ncbi.nlm.nih.gov/pubmed/36616782
http://dx.doi.org/10.3390/s23010188
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