Persistent Crowd Tracking Using Unmanned AerIal Vehicle Swarms: A Novel Framework for Energy and Mobility Management
Angelo Trotta, Ufuk Muncuk, Marco Di Felice, Kaushik Chowdhury
Abstract
Aerial surveillance systems are a cost-effective and on-demand solution for smart city monitoring. However, the deployment of a swarm of unmanned aerial vehicles (UAVs) for continuous video capture of mobile ground target (MGT) activities poses new research issues in terms of energy management, scenario coverage, and multidevice task coordination. In this article, we address these challenges by proposing Persistent Crowd Tracking Using UAVs (PERCEIVE), a novel framework for continuous video surveillance via UAVs that are periodically replenished through mobile charging stations (MCSs).
Topics & Concepts
Software deploymentReal-time computingDroneComputer scienceTracking (education)Unmanned ground vehicleTask (project management)Systems engineeringEngineeringTelecommunicationsGeneticsPsychologyBiologyOperating systemPedagogyUAV Applications and OptimizationVideo Surveillance and Tracking MethodsEnergy Harvesting in Wireless Networks