Drone aircraft.
Overview
| Works: | 41 works in 23 publications in 23 languages | |
|---|---|---|
Titles
Unmanned aircraft systems : = UAVs design, development, and deployment /
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Unmanned aircraft systems = UAVs design, development, and deployment /
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On integrating unmanned aircraft systems into the National Airspace System = issues, challenges, operational restrictions, certification, and recommendations /
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On integrating unmanned aircraft systems into the national airspace system = issues, challenges, operational restrictions, certification and recommendations /
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Fault-tolerant flight control and guidance systems = practical methods for small unmanned aerial vehicles /
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Designing unmanned aircraft systems : = a comprehensive approach /
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Analyzing the drone debates : = targeted killings, remote warfare, and military technology /
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Drones and unmanned aerial systems = legal and social implications for security and surveillance /
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The future of drone use = opportunities and threats from ethical and legal perspectives /
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Drones and journalism : = how the media is making use of unmanned aerial vehicles /
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Advanced UAV aerodynamics, flight stability, and control = novel concepts, theory and applications /
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Advanced UAV aerodynamics, flight stability and control : = novel concepts, theory and applications /
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Intelligent Autonomy of UAVs : = advanced missions and future use /
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Drones and the future of air warfare : = the evolution of remotely piloted aircraft /
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Unmanned vehicle systems for geomatics : = towards robotic mapping /
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Unmanned aerial vehicle applications over cellular networks for 5G and beyond /
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Nonlinear kalman filtering for multi-sensor navigation of unmanned aerial vehicles = application to guidance and navigation of unmanned aerial vehicles flying in a complex environment /
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Best technologies for public libraries = policies, programs, and services /
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Autonomous navigation and deployment of UAVs for communication, surveillance and delivery /
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Unmanned aerial vehicles swarm for protecting smart cities = future trends and challenges /
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Machine learning for drone-enabled IoT networks = opportunities, developments, and trends /
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