Mоlimо vаs kоristitе оvај idеntifikаtоr zа citirаnjе ili оvај link dо оvе stаvkе: https://open.uns.ac.rs/handle/123456789/2310
Nаziv: Video-processing platform for semi-Autonomous driving over 5G networks
Аutоri: Becirbasic D.
Molnar M.
Lukač, Željko 
Samardžija, Dragan 
Dаtum izdаvаnjа: 14-дец-2017
Čаsоpis: IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Sažetak: © 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.
URI: https://open.uns.ac.rs/handle/123456789/2310
ISBN: 9781509040148
ISSN: 21666814
DOI: 10.1109/ICCE-Berlin.2017.8210584
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