Authors:
Bruno Areias
1
;
Nuno Humberto
1
;
Lucas Guardalben
2
;
José Maria Fernandes
3
and
Susana Sargento
1
Affiliations:
1
Instituto de Telecomunicações and Universidade de Aveiro, Portugal
;
2
Instituto de Telecomunicações, Portugal
;
3
Universidade de Aveiro, Portugal
Keyword(s):
Automated, Flying Drones, Ground and Drones Communications.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Health Engineering and Technology Applications
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
Nowadays, some drone Flight Controllers (FCs) support basic automation (e.g., GPS waypoint, return-to-home, path flight, take-off/landing), although it requires direct drone connectivity (e.g., radio, base station/Ground Control Station (GCS)) and an extensive knowledge over technical details (e.g., assembly, configuration, battery maintenance, flight, etc.). This paper proposes a novel platform that offers an abstraction layer between the end-user and the drone itself, automating most of the drone flight requirements. The platform allows to perform high-level drones control (e.g., up, down, left, right, GPS go-to and stream follow, return-to-base, etc.) through end-user communications, contributing with a highly modular event-driven control platform, enabling development of more complex integrations between drones and other technologies. The obtained results show that the proposed automated flying drones’ platform is able to properly abstract and decouple the direct control, handlin
g up to 32 drones with no significant impact on the performance. The platform is also capable of displaying and correlating sensor metrics obtained in real-time during flight.
(More)