Web: http://arxiv.org/abs/2205.01686

May 5, 2022, 1:10 a.m. | Zoran Kostić, Alex Angus, Zhengye Yang, Zhuoxu Duan, Ivan Seskar, Gil Zussman, Dipankar Raychaudhuri

cs.CV updates on arXiv.org arxiv.org

Traffic intersections are the most suitable locations for the deployment of
computing, communications, and intelligence services for smart cities of the
future. The abundance of data to be collected and processed, in combination
with privacy and security concerns, motivates the use of the edge-computing
paradigm which aligns well with physical intersections in metropolises. This
paper focuses on high-bandwidth, low-latency applications, and in that context
it describes: (i) system design considerations for smart city intersection
intelligence nodes; (ii) key technological components …

arxiv cv future intelligence smart smart city

More from arxiv.org / cs.CV updates on arXiv.org

Director, Applied Mathematics & Computational Research Division

@ Lawrence Berkeley National Lab | Berkeley, Ca

Business Data Analyst

@ MainStreet Family Care | Birmingham, AL

Assistant/Associate Professor of the Practice in Business Analytics

@ Georgetown University McDonough School of Business | Washington DC

Senior Data Science Writer

@ NannyML | Remote

Director of AI/ML Engineering

@ Armis Industries | Remote (US only), St. Louis, California

Digital Analytics Manager

@ Patagonia | Ventura, California