Abstract
This paper presents a comprehensive theoretical framework for drone typology. To achieve this objective, we conducted a thorough and systematic review of the existing literature, starting with an exploration of fundamental concepts such as UAS (Unmanned Aircraft Systems), UAV (Unmanned Aerial Vehicle), and drones, including their key components. This initial investigation serves as the foundation for developing an overarching conceptual framework. Subsequently, we critically evaluate the primary parameters used to classify and categorize drones, as identified in the systematic review. The findings reveal a lack of consensus among the authors concerning the division of drones by these parameters and their associated values. This diversity in approaches highlights the complexity of drone typology. In response to the challenges identified in the literature, we proposed a novel theoretical framework that integrates the previously identified information. This integration of diverse perspectives allows for the establishment of correlations between different categories, enabling a holistic understanding of the theme.
Original language | English |
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Title of host publication | Information Technology and Systems - ICITS 2024 |
Editors | Alvaro Rocha, Jorge Hochstetter Diez, Carlos Ferras, Mauricio Dieguez Rebolledo |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 82-93 |
Number of pages | 12 |
ISBN (Print) | 9783031542343 |
DOIs | |
Publication status | Published - 1 Jan 2024 |
Event | International Conference on Information Technology and Systems, ICITS 2024 - Temuco, Chile Duration: 24 Jan 2024 → 26 Jan 2024 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 932 LNNS |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | International Conference on Information Technology and Systems, ICITS 2024 |
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Country/Territory | Chile |
City | Temuco |
Period | 24/01/24 → 26/01/24 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Keywords
- Drone
- Unmanned Aerial Vehicle
- Unmanned Aircraft Systems