Article (Scientific journals)
A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives
KABIRI, Meisam; CIMARELLI, Claudio; BAVLE, Hriday et al.
2022In Sensors, 23 (1), p. 188
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Keywords :
robot localisation; UAV localisation; 5G NR
Abstract :
[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 :
no
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 :
1424-8220
eISSN :
1424-3210
Publisher :
Multidisciplinary Digital Publishing Institute (MDPI), Basel, Switzerland
Special issue title :
Aerial Robotics: Navigation and Path Planning
Volume :
23
Issue :
1
Pages :
188
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Computational Sciences
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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