Sensors, Vol. 23, Pages 1671: Design, Implementation, and Empirical Validation of a Framework for Remote Car Driving Using a Commercial Mobile Network

Sensors, Vol. 23, Pages 1671: Design, Implementation, and Empirical Validation of a Framework for Remote Car Driving Using a Commercial Mobile Network

Sensors doi: 10.3390/s23031671

Authors: Javier Saez-Perez Qi Wang Jose M. Alcaraz-Calero Jose Garcia-Rodriguez

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.