Cooperative Multi-Agent Traffic Monitoring Can Reduce Camera Surveillance
Author:
Affiliation:
1. Machine Learning Group, Université Libre de Bruxelles, Brussels, Belgium
2. School of Computing, University of Leeds, Leeds, U.K
Funder
Traffic prOcessing foR uRban EnvironmentS (TORRES), a Joint Research and Development Project
“Région de Bruxelles-Capitale-Innoviris”
UK Research and Innovation (UKRI) Future Leaders Fellowship: ‘Digitally Assisted Collective Governance of Smart City Commons–ARTIO’
Alan Turing Fellowship
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10360829.pdf?arnumber=10360829
Reference30 articles.
1. Ethics of Smart Cities: Towards Value-Sensitive Design and Co-Evolving City Life
2. Cost-Effectiveness of CCTV Surveillance Systems: Evidence from a Polish City
3. A new scheme of vehicle detection for severe weather based on multi-sensor fusion
4. Edge computing vs centralized cloud: Impact of communication latency on the energy consumption of LTE terminal nodes
5. EnsembleNet: a hybrid approach for vehicle detection and estimation of traffic density based on faster R-CNN and YOLO models
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