An Evaluation Framework for UAV Surveillance Applications

Abstract

Unmanned Aerial Vehicles (UAVs) are becoming more and more popular in many different fields. One of the fields is surveillance. UAVs can have access to wide range of area, where people usually struggle. Before multiple UAVs perform such a mission, it is desirable to simulate the system on an abstract level in a virtual environment. This allows to find the perfect configuration, before starting with an expensive implementation. This project covers a configurable simulation framework that enables the implementation of different Multi-UAV algorithms as well as different project settings. Thereby the system can be modified based on various technical and business needs. The measurements make it possible for developers or system administrators, to make decisions about the system, before it is deployed and tested with physical drones. The framework is evaluated with an example business case, where a system planner considers the amount of UAVs, that shall be implemented for a given surveillance scenario in the security context.

@InProceedings{hrabia_towards2017,
Title = {An Evaluation Framework for UAV Surveillance Applications},
Author = {Michael Ettlinger and Bilge Sarp and Christopher-Eyk Hrabia and Sahin Albayrak},
Booktitle = {The 31st Annual European Simulation and Modelling Conference 2017},
Year = {2017},
Month = {October},
Pages = {356-362},
ISBN = {978-492859-00-6}
}
Autoren:
Michael Ettlinger, Bilge Sarp, Christopher-Eyk Hrabia, Sahin Albayrak
Kategorie:
Tagungsbeitrag
Jahr:
2017
Ort:
The 31st Annual European Simulation and Modelling Conference 2017, Lisbon