Terzi, Maria (KIOS Research and Innovation Center of Excellence, University of), Kolios, Panayiotis (University of Cyprus), Panayiotou, Christos (University of Cyprus), Theocharides, Theocharis (University of Cyprus)

Towards a Social-Media Driven Multi-Drone Tasking Platform

Scheduled for presentation during the Poster Session "Poster Papers Session" (WePS), Wednesday, September 2, 2020, 13:00−18:00, Foyer, Mezzanine Level

2020 International Conference on Unmanned Aircraft Systems (ICUAS), September 1-4, 2020 (Postponed from June 9-12, 2020), Athens, Greece

This information is tentative and subject to change. Compiled on April 23, 2024

Abstract

We present a framework for utilising social-media for tasking drone swarms in search and rescue missions. As elaborated in this work, social-media are a source of timely and valuable information regarding the occurrence, the evolution and the damage produced in disasters. Exploiting this source of knowledge can be very valuable in planning search and rescue missions and identifying tasks to be conducted. In this work a novel multi-drone search and rescue framework is developed that considers social-media signals in the creation of search tasks. The key design challenges of implementing the proposed framework are discussed and a simulated scenario based on a real-life Twitter data set is presented as a means of providing evidence of the effectiveness of the proposed framework.