Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/2310
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dc.contributor.authorBecirbasic D.en
dc.contributor.authorMolnar M.en
dc.contributor.authorLukač, Željkoen
dc.contributor.authorSamardžija, Draganen
dc.date.accessioned2019-09-23T10:20:51Z-
dc.date.available2019-09-23T10:20:51Z-
dc.date.issued2017-12-14en
dc.identifier.isbn9781509040148en
dc.identifier.issn21666814en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/2310-
dc.description.abstract© 2017 IEEE. Semi-Autonomous driving is a huge technological step, but it also introduces a range of new challenges. Real-Time control, selection and development of hardware platform, data transfer and development of algorithms are just a small collection of technical challenges to fully take advantages of such a system. The focus of this paper is analysis of some aspects of semi-Autonomous driving, the corresponding limitations and the way ultra-reliable low-latency communications (URLLC) 5G networks allow to overcome them.en
dc.relation.ispartofIEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlinen
dc.titleVideo-processing platform for semi-Autonomous driving over 5G networksen
dc.typeConference Paperen
dc.identifier.doi10.1109/ICCE-Berlin.2017.8210584en
dc.identifier.scopus2-s2.0-85043976712en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85043976712en
dc.relation.lastpage46en
dc.relation.firstpage42en
dc.relation.volume2017-Septemberen
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFakultet tehničkih nauka, Departman za računarstvo i automatiku-
crisitem.author.deptFakultet tehničkih nauka, Departman za računarstvo i automatiku-
crisitem.author.parentorgFakultet tehničkih nauka-
crisitem.author.parentorgFakultet tehničkih nauka-
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