Unmanned Aerial Systems: Theoretical Foundation and Applications presents some of the latest innovative approaches to drones from the point-of-view of dynamic modeling, system analysis, optimization, control, communications, 3D-mapping, search and rescue, surveillance, farmland and construction moni...

Ausführliche Beschreibung

Bibliographische Detailangaben

Weitere Verfasser:	Koubâa, Anis 1977- (HerausgeberIn), Azar, Ahmad Taher (HerausgeberIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	London, United Kingdom Academic Press, an imprint of Elsevier [2021]
Schriftenreihe:	Advances in nonlinear dynamics and chaos
Schlagworte:	Drohne > Flugkörper Unbemanntes Flugzeug Aufsatzsammlung
Zusammenfassung:	Unmanned Aerial Systems: Theoretical Foundation and Applications presents some of the latest innovative approaches to drones from the point-of-view of dynamic modeling, system analysis, optimization, control, communications, 3D-mapping, search and rescue, surveillance, farmland and construction monitoring, and more. With the emergence of low-cost UAS, a vast array of research works in academia and products in the industrial sectors have evolved. The book covers the safe operation of UAS, including, but not limited to, fundamental design, mission and path planning, control theory, computer vision, artificial intelligence, applications requirements, and more. This book provides a unique reference of the state-of-the-art research and development of unmanned aerial systems, making it an essential resource for researchers, instructors and practitioners.- Covers some of the most innovative approaches to drones- Provides the latest state-of-the-art research and development surrounding unmanned aerial systems - Presents a comprehensive reference on unmanned aerial systems, with a focus on cutting-edge technologies and recent research trends in the area
Beschreibung:	1. UAS System Design; 2. UAS Control systems; 3. Hybrid control of UAS; 4. Obstacle and collision avoidance of UAS; 5. UAV onboard data storage, transmission and retrieval; 6. Kalman and Particle filtering and other advanced techniques for motion sensor data fusion; 7. Simultaneous Localization and Mapping (SLAM); 8. Single/multiple IMU-Vision-based navigation and orientation; 9. Autopilots and navigation: standard and advanced solutions for navigation integrity; 10. Integration of UAS into the Internet; 11. IoT applications using UAS; 12. Safety issues of UAS; 13. Ultra-Wide Band (UWB) localization; 14. Security threats of UAS; 15. UAS public deployment challenges; 16. UAS for cloud robotics; 17. Deep neural networks (DNN) for field aerial robot perception (e.g., object detection, or semantic classification for navigation); 18. Recurrent networks for state estimation and dynamic identification of aerial vehicles; 19. Deep-reinforcement learning for aerial robots (discrete-, or continuous-control) in dynamic environments; 20. Learning-based aerial manipulation in cluttered environments; 21. Decision making or task planning using machine learning for field aerial robots; 22. Long-term ecological monitoring based on UAVs; 23. Ecological Integrity parameters mapping; 24. Rapid risk and disturbance assessment using drones; 25. Ecosystem structure and processes assessment by using UAVs
Beschreibung:	xxiii, 626 Seiten Illustrationen, Diagramme 229 mm
ISBN:	9780128202760