Peer-to-Peer Transfers for Crowd Monitoring - A Reality Check
- 18 June 2020
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Trilateration, Fingerprinting, and Centroid: Taking Indoor Positioning with Bluetooth LE to the WildPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2020
- Exploring data forwarding with Bluetooth for participatory crowd monitoringPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2019
- UrbanCount: Mobile crowd counting in urban environmentsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Why your smartphone doesn't work in very crowded environmentsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Selecting Energy Efficient Cluster-Head Trajectories for Collaborative Mobile SensingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Capturing crowd dynamics at large scale events using participatory GPS-localizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- Probing crowd density through smartphones in city-scale mass gatheringsEPJ Data Science, 2013
- Low cost crowd counting using audio tonesPublished by Association for Computing Machinery (ACM) ,2012
- Mobile sensing of pedestrian flocks in indoor environments using WiFi signalsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- Towards an online detection of pedestrian flocks in urban canyons by smoothed spatio-temporal clustering of GPS trajectoriesPublished by Association for Computing Machinery (ACM) ,2011