TY - CHAP
T1 - Unmanned Aerial Systems
T2 - International Conference on Information Technology and Systems, ICITS 2024
AU - Barros, João
AU - Henriques, João
AU - Reis, João
AU - Rosado, David Pascoal
AU - Melão, Nuno
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - 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.
AB - 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.
KW - Drone
KW - Unmanned Aerial Vehicle
KW - Unmanned Aircraft Systems
UR - http://www.scopus.com/inward/record.url?scp=85187781974&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-54235-0_8
DO - 10.1007/978-3-031-54235-0_8
M3 - Chapter
AN - SCOPUS:85187781974
SN - 9783031542343
T3 - Lecture Notes in Networks and Systems
SP - 82
EP - 93
BT - Information Technology and Systems - ICITS 2024
A2 - Rocha, Alvaro
A2 - Diez, Jorge Hochstetter
A2 - Ferras, Carlos
A2 - Rebolledo, Mauricio Dieguez
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 24 January 2024 through 26 January 2024
ER -