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

[en] 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.

Precision for document type :

Critical notes/Edition

Disciplines :

Computer science

Author, co-author :

Kabiri, Meisam ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation

Cimarelli, Claudio ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation

Bavle, Hriday ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation

Sanchez Lopez, Jose Luis ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation

Voos, Holger ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation

External co-authors :

Language :

English

Title :

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

Publication date :

24 December 2022

Journal title :

Sensors

ISSN :

1424-3210

Publisher :

Multidisciplinary Digital Publishing Institute (MDPI), Basel, Switzerland

Special issue title :

Aerial Robotics: Navigation and Path Planning

Volume :

Issue :

Pages :

188

Peer reviewed :

Peer Reviewed verified by ORBi

Focus Area :

Computational Sciences

Additional URL :

https://www.mdpi.com/1424-8220/23/1/188

FnR Project :

FNR13713801 - Interconnecting The Sky In 5g And Beyond - A Joint Communication And Control Approach, 2019 (01/06/2020-31/05/2023) - Bjorn Ottersten

Name of the research project :

5G-SKY

Funders :

FNR - Fonds National de la Recherche [LU]

Available on ORBilu :

since 10 January 2023

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