Design, implementation, and empirical validation of a framework for remote car driving using a commercial mobile network

Abstract

Despite the fact that autonomous driving systems are progressing in terms of their automation levels, the achievement of fully self-driving cars is still far from realization. Currently, most new cars accord with the Society of Automotive Engineers (SAE) Level 2 of automation, which requires the driver to be able to take control of the car when needed: for this reason, it is believed that between now and the achievement of fully automated self-driving car systems, there will be a transition, in which remote driving cars will be a reality. In addition, there are tele-operation-use cases that require remote driving for health or safety reasons. However, there is a lack of detailed design and implementation available in the public domain for remote driving cars: therefore, in this work we propose a functional framework for remote driving vehicles. We implemented a prototype, using a commercial car. The prototype was connected to a commercial 4G/5G mobile network, and empirical experiments were conducted, to validate the prototype’s functions, and to evaluate its performance in real-world driving conditions. The design, implementation, and empirical evaluation provided detailed technical insights into this important research and innovation area.

Publication DOI: https://doi.org/10.3390/s23031671
Divisions: College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies
Aston University (General)
Funding Information: This research was funded in part by the EU Horizon 2020 5G-PPP 5G-INDUCE project (“Open cooperative 5G experimentation platforms for the industrial sector NetApps”) under grant number H2020-ICT-2020-2/101016941, by the EU Horizon Europe INCODE project (“P
Additional Information: Copyright © 2023 by the authors. 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/).
Uncontrolled Keywords: autonomous driving,teledriving,car control
Publication ISSN: 1424-8220
Last Modified: 18 Apr 2025 07:25
Date Deposited: 11 Apr 2025 09:36
Full Text Link:
Related URLs: https://www.mdp ... -8220/23/3/1671 (Publisher URL)
PURE Output Type: Article
Published Date: 2023-02-03
Accepted Date: 2023-01-30
Authors: Saez-Perez, Javier
Wang, Qi
Alcaraz-Calero, Jose M. (ORCID Profile 0000-0002-2654-7595)
Garcia-Rodriguez, Jose

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License: Creative Commons Attribution


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