Results 281 to 290 of about 268,742 (315)
Some of the next articles are maybe not open access.
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
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
Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture.
Trends in Plant Science, 2019Remote sensing with unmanned aerial vehicles (UAVs) is a game-changer in precision agriculture. It offers unprecedented spectral, spatial, and temporal resolution, but can also provide detailed vegetation height data and multiangular observations.
W. Maes, K. Steppe
semanticscholar +1 more source
SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles
Comput. Networks, 2021The 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
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
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
Adversarial Attacks and Defenses for Deep-Learning-Based Unmanned Aerial Vehicles
IEEE Internet of Things Journal, 2021The 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
, 2020Foreseeing 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
Morphing unmanned aerial vehicles
Smart Materials and Structures, 2011Research on aircraft morphing has exploded in recent years. The motivation and driving force behind this has been to find new and novel ways to increase the capabilities of aircraft. Materials advancements have helped to increase possibilities with respect to actuation and, hence, a diversity of concepts and unimagined capabilities.
Juan Carlos Gomez, Ephrahim Garcia
openaire +1 more source
Unmanned Aerial Vehicles Velocimeter
2019 IEEE 5th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD), 2019The structure of the laser Doppler velocimeter, which uses the powerful laser diode. Using the laser diode, photodiode, and optic elements with small dimensions and mass will allow using such a device for measuring two vector components of the true airspeed of heavy unmanned aerial vehicles.
V. M. Azarskov, V. M. Dyvnych
openaire +1 more source