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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 |
Nаlаzi sе u kоlеkciјаmа: | FTN Publikacije/Publications |
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