Unmanned Aerial Systems: Theoretical Foundation and Applications: Advances in Nonlinear Dynamical Systems and Robotics (ANDC)
Editat de Anis Koubaa, Ahmad Taher Azaren Limba Engleză Paperback – 26 ian 2021
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
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Specificații
ISBN-13: 9780128202760
ISBN-10: 0128202769
Pagini: 650
Ilustrații: Approx. 200 illustrations
Dimensiuni: 152 x 229 x 34 mm
Greutate: 0.86 kg
Editura: ELSEVIER SCIENCE
Seria Advances in Nonlinear Dynamical Systems and Robotics (ANDC)
ISBN-10: 0128202769
Pagini: 650
Ilustrații: Approx. 200 illustrations
Dimensiuni: 152 x 229 x 34 mm
Greutate: 0.86 kg
Editura: ELSEVIER SCIENCE
Seria Advances in Nonlinear Dynamical Systems and Robotics (ANDC)
Public țintă
Researches and Industries working in the fields of Electrical and Electronics Engineering; Control Engineering, Power Engineering, Computer science, Mathematics and Applied Mathematics, Physics, Computer Engineering.Mathematicians, Engineering Mathematics, Biomedical Engineering, Computational Physics
Cuprins
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
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