5G-Enabled Autonomous Driving Demonstration with a V2X Scenario-in-the-Loop Approach

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dc.contributor.authorSzalay, Z.
dc.contributor.authorFiczere, D.
dc.contributor.authorTihanyi, V.
dc.contributor.authorMagyar, F.
dc.contributor.authorSoós, G.
dc.contributor.authorVarga, P.
dc.date.accessioned2021-12-23T13:10:38Z
dc.date.accessioned2021-12-23T13:10:38Z
dc.date.available2021-12-23T13:10:38Z
dc.date.available2021-12-23T13:10:38Z
dc.date.issued2020
dc.description.abstractAutonomous 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.en_ES
dc.identifier.citationSzalay, Z., Ficzere, D., Tihanyi, V., Magyar, F., Soós, G., & Varga, P. (2020). 5G-Enabled Autonomous Driving Demonstration with a V2X Scenario-in-the-Loop Approach. En Sensors (Basel) (Vol. 20, Número 24). https://doi.org/10.3390/s20247344en_ES
dc.identifier.issn1424-8220
dc.identifier.urihttp://repositoriobibliotecas.uv.cl/handle/uvscl/3221
dc.identifier.urihttp://repositoriobibliotecas.uv.cl/handle/uvscl/3221
dc.language.isoen_USen_ES
dc.publisherSensors (Basel)en_ES
dc.subject5Gen_ES
dc.subjectDIGITAL TWINen_ES
dc.subjectSCIL V2Xen_ES
dc.subjectAUTONOMOUS DRIVINGen_ES
dc.subjectREAL-LIFE MEASUREMENTSen_ES
dc.title5G-Enabled Autonomous Driving Demonstration with a V2X Scenario-in-the-Loop Approachen_ES
dc.typeArticuloen_ES
dc.ubicacionhttps://doi.org/10.3390/s20247344en_ES
uv.catalogadorSGGen_ES
uv.colectionBibliografía 5Gen_ES

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