Sensors (Feb 2023)

Design, Implementation, and Empirical Validation of a Framework for Remote Car Driving Using a Commercial Mobile Network

  • Javier Saez-Perez,
  • Qi Wang,
  • Jose M. Alcaraz-Calero,
  • Jose Garcia-Rodriguez

DOI
https://doi.org/10.3390/s23031671
Journal volume & issue
Vol. 23, no. 3
p. 1671

Abstract

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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.

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