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Unmanned Aerial Vehicles

2021
Last January, the General Secretariat of the Council of the European Union produced an estimate that, by the year 2035, the drones' sector will create up to 100,000 new jobs and, in addition, will have an economic impact of more than ten billion euros per year. This chapter takes its cue precisely from the central importance of unmanned aerial vehicles,
openaire   +2 more sources

SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles

Comput. Networks, 2021
The current advancement in Unmanned Aerial Vehicles (UAVs) and the proliferation of the Internet of Things (IoT) devices is revolutionizing conventional farming operations into precision agriculture.
Randhir Kumar   +5 more
semanticscholar   +1 more source

Adversarial Attacks and Defenses for Deep-Learning-Based Unmanned Aerial Vehicles

IEEE Internet of Things Journal, 2021
The introduction of deep learning (DL) technology can improve the performance of cyber–physical systems (CPSs) in many ways. However, this also brings new security issues.
Jiwei Tian   +5 more
semanticscholar   +1 more source

Unmanned aerial vehicles applications in future smart cities

, 2020
Foreseeing changes in how smart cities manage their resources and provide services to the residents; research, development and production in various relevant technology fields is accelerating.
N. Mohamed   +4 more
semanticscholar   +1 more source

Communication Security of Unmanned Aerial Vehicles

IEEE Wireless Communications, 2017
Communication security is critically important for the success of Unmanned Aerial Vehicles (UAVs). With the increasing use of UAVs in military and civilian applications, they often carry sensitive information that adversaries might try to get hold of.
Daojing He, Sammy Chan, Mohsen Guizani
openaire   +1 more source

Unmanned Aerial Vehicles in Opportunistic Networks

2019 IEEE Global Communications Conference (GLOBECOM), 2019
The unmanned aerial vehicles (UAVs) are widely used in many application areas including the opportunistic networks. In this paper, we investigate the efficient usage of UAVs in Unmanned Aerial Vehicle aided Opportunistic Networks (UAON). The UAVs act as message distributors whereas the nodes on the ground generate the messages.
Salih Safa Bacanli, Damla Turgut
openaire   +1 more source

Unmanned Aerial Vehicles

2018
The multi-DOF dynamic model of unmanned aerial vehicles (UAVs) is a highly nonlinear one and its control can be performed again with (i) global linearization control methods, (ii) local linearization control methods and (iii) Lyapunov analysis-based methods.
Gerasimos Rigatos, Krishna Busawon
openaire   +1 more source

Unmanned Aerial Vehicles

2023
Maurice Thompson   +3 more
openaire   +2 more sources

Situation Identification by Unmanned Aerial Vehicle

2001
An approach to a multi-facet task of situation identification by Unmanned Aerial Vehicle (UAV) is presented. The concept of multi-layered identification system based on soft computing approach to reasoning with incomplete, imprecise or vague information is discussed.
Hung Son Nguyen   +2 more
openaire   +1 more source

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