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  • Unmanned Aerial Systems: Theoretical Foundation and Applications

    Unmanned Aerial Systems by Koubaa, Anis; Taher Azar, Ahmad;

    Theoretical Foundation and Applications

    Sorozatcím: Advances in Nonlinear Dynamical Systems and Robotics (ANDC);

      • 20% KEDVEZMÉNY?

      • A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
      • Kiadói listaár EUR 140.00
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        58 065 Ft (55 300 Ft + 5% áfa)
      • Kedvezmény(ek) 20% (cc. 11 613 Ft off)
      • Kedvezményes ár 46 452 Ft (44 240 Ft + 5% áfa)

    58 065 Ft

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    Beszerezhetőség

    Megrendelésre a kiadó utánnyomja a könyvet. Rendelhető, de a szokásosnál kicsit lassabban érkezik meg.

    Why don't you give exact delivery time?

    A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.

    Hosszú leírás:

    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.

    Több

    Tartalomjegyzék:

    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

    Több
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