@article{ref1,
title="5G-enabled autonomous driving demonstration with a V2X scenario-in-the-loop approach",
journal="Sensors (Basel)",
year="2020",
author="Szalay, Zsolt and Ficzere, Dániel and Tihanyi, Viktor and Magyar, Ferenc and Soós, Gábor and Varga, Pál",
volume="20",
number="24",
pages="e7344-e7344",
abstract="Autonomous vehicles are at the forefront of interest due to the expectations of changing transportation for the better. In order to make better decisions on the  road, vehicles use information from various sources: their own sensors, messages  arriving from surrounding vehicles and objects, as well as from centralized  entities-including their own Digital Twin. Certain decisions require the information  to arrive with low latency and some of this information (such as video) requires  broadband communication. Furthermore, the vehicles can populate an area, so they can  represent mass communication endpoints that still need low latency and massive  broadband. The mobility of the vehicles obviously requires the complete coverage of  the roads with reliable wireless communication technologies fulfilling the  previously mentioned needs. The fifth generation of cellular mobile technologies,  5G, addresses these requirements. The current paper presents real-life scenarios-on  the M86 highway and the ZalaZONE proving ground in Hungary-for the demonstration of  vehicular communication with 5G support, where the cars exchange sensor and control  information with each other, their environment, and their Digital Twins. The  demonstrations were carried out through the Scenario-in-the-Loop (SciL) methodology,  where some of the actionable triggers were not physically present around the  vehicles, but sensed or simulated around their Digital Twin. The measurements around  the demonstrations aim to reveal the feasibility of the 5G Non-Standalone  Architecture for certain communication scenarios, and they mainly aim to reveal the  current latency and throughput limitations under real-life conditions.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s20247344",
url="http://dx.doi.org/10.3390/s20247344"
}