Journal Publication

M. Kabiri, C. Cimarelli, H. Bavle, J. L. Sanchez-Lopez, H. Voos. A Review of Radio Frequency Based Localization with Application to Robotics: 5G future perspectives. Sensors. MDPI. ISSN: 1424-8220. vol. 23. no. 1. Art. No. 188. Jan. 2023. (Online: Dec. 2022). DOI: 10.3390/s23010188.

Resources:

Paper link: https://doi.org/10.3390/s23010188
Preprints: https://arxiv.org/abs/2212.05126
Bibtex citation: Bibtex

Abstract:
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.

Dr. Jose-Luis SANCHEZ-LOPEZ