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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
28 Downloads (Pure)

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.
Original languageEnglish
Article number1671
Number of pages17
JournalSensors
Volume23
Issue number3
DOIs
Publication statusPublished - 3 Feb 2023

Keywords

  • autonomous driving
  • teledriving
  • car control

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