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dc.contributor.authorGomes, Guilherme Daniel
dc.contributor.authorFlynn, Ronan
dc.contributor.authorMurray, Niall
dc.date.accessioned2020-11-24T10:55:59Z
dc.date.available2020-11-24T10:55:59Z
dc.date.copyright2020
dc.date.issued2020-06
dc.identifier.citationGomes, G. D., Flynn, R., Murray, N. (2020). A QoE evaluation of an immersive virtual reality autonomous driving experience. Presented at AIT Poster Presentation Seminar June 2020en_US
dc.identifier.urihttp://research.thea.ie/handle/20.500.12065/3494
dc.description.abstractAt the early stages of adoption, Autonomous Vehicles (AVs) with high automation (SAE level 4 and 5) will share the streets with other road users (i.e. pedestrians, human-driven vehicles, cyclists, etc.) and depend on current infrastructure with its irregularities (i.e. unmarked roads) [1]. These challenges demand testing AVs in computational simulated environments and investigating how users interact with these systems. The immersion delivered by simulations may influence the user’s perceived QoE [2]. In this context, this work promotes a VR autonomous driving experience in a street in Athlone, Ireland, using two different formats: firstly, photogrammetry to provide realistic 3D content and secondly a non-photorealistic environment. This system was built to investigate the impact of graphics quality on immersion levels and perceived QoE.en_US
dc.formatPDFen_US
dc.language.isoengen_US
dc.publisherAthlone Institute of Technologyen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectQuality of experienceen_US
dc.subjectAutonomous vehiclesen_US
dc.subjectVirtual realityen_US
dc.subjectPerceptionen_US
dc.titleA QoE evaluation of an immersive virtual reality autonomous driving experience [Poster]en_US
dc.typeinfo:eu-repo/semantics/otheren_US
dc.contributor.affiliationAthlone Institute of Technologyen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0989-3621en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-6475-005Xen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-5919-0596en_US
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessen_US
dc.subject.departmentFaculty of Engineering & Informatics AITen_US
dc.type.versioninfo:eu-repo/semantics/publishedVersionen_US


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International