Results 151 to 160 of about 43,453 (201)
Ensemble Machine Learning Models Utilizing a Hybrid Recursive Feature Elimination (RFE) Technique for Detecting GPS Spoofing Attacks Against Unmanned Aerial Vehicles. [PDF]
Al-Syouf R +3 more
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Visual SLAM for Unmanned Aerial Vehicles: Localization and Perception. [PDF]
Zhuang L, Zhong X, Xu L, Tian C, Yu W.
europepmc +1 more source
Investigation of Unsafe Construction Site Conditions Using Deep Learning Algorithms Using Unmanned Aerial Vehicles. [PDF]
Kumar S +5 more
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Revolutionizing healthcare: Navigating the trajectory of unmanned aerial vehicles from history to horizon. [PDF]
Bhattacharya S, Singh A.
europepmc +1 more source
Plant Detection in RGB Images from Unmanned Aerial Vehicles Using Segmentation by Deep Learning and an Impact of Model Accuracy on Downstream Analysis. [PDF]
Kozhekin MV +4 more
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2020
Unmanned aerial vehicles, otherwise known as drones, are unmanned aircraft that uses radio control equipment and an independent program control device. This includes unmanned helicopters, fixed-wing aircraft, multi-rotor aircraft, unmanned airships, and parawings.
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Unmanned aerial vehicles, otherwise known as drones, are unmanned aircraft that uses radio control equipment and an independent program control device. This includes unmanned helicopters, fixed-wing aircraft, multi-rotor aircraft, unmanned airships, and parawings.
openaire +2 more sources
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,
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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
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
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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

