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dc.contributor.authorMiki, Shoheien_US
dc.contributor.authorItoh, Hirotakaen_US
dc.contributor.authorFunahashi, Kenjien_US
dc.contributor.editorKakehi, Yasuaki and Hiyama, Atsushien_US
dc.date.accessioned2019-09-11T05:43:41Z
dc.date.available2019-09-11T05:43:41Z
dc.date.issued2019
dc.identifier.isbn978-3-03868-097-0
dc.identifier.issn1727-530X
dc.identifier.urihttps://doi.org/10.2312/egve.20191290
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egve20191290
dc.description.abstractYou usually want to know the traffic situation ahead while driving. For example, you probably want to see a situation at the head of a traffic jam. In this study, we propose a virtual remote view system in a traffic jam. Smartphones on a dashboard are connected as peer-to-peer communication, and the jammed road images are propagated to them behind. An experiment was conducted to confirm that this system works properly. Some positive evaluations for a virtual remote view were obtained from subjects.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectInformation systems
dc.subjectMultimedia information systems
dc.titleVirtual Remote View System in Traffic Jam Using Smartphone Peer-to-peer Image Propagationen_US
dc.description.seriesinformationICAT-EGVE 2019 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments - Posters and Demos
dc.description.sectionheadersPosters
dc.identifier.doi10.2312/egve.20191290
dc.identifier.pages5-6


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