Advances in UAV(Unmanned Aerial Vehicle)
An unmanned aerial vehicle (UAV), commonly known as a drone, is an aircraft without any human pilot, crew, or passengers on board. UAVs were originally developed through the twentieth century for military missions too "dull, dirty or dangerous" for humans, and by the twenty‐first, they had become essential assets to most militaries. As control technologies improved and costs fell, their use expanded to many non‐military applications. These include aerial photography, precision agriculture, forest fire monitoring, river monitoring, environmental monitoring, policing and surveillance, infrastructure inspections, smuggling, product deliveries, entertainment, and drone racing.
Sample Chapter(s)
preface (48 KB)
Components of the Book:
  • Chapter 1
    3d Modelling Of Beach Topography Changes Caused By The Tombolo Phenomenon Using Terrestrial Laser Scanning (Tls) And Unmanned Aerial Vehicle (Uav) Photogrammetry On The Example Of The City Of Sopot
  • Chapter 2
    Optimization Of Unmanned Aerial Vehicle Augmented Ultra-Dense Networks
  • Chapter 3
    A Survey Of Computer Vision Methods For 2d Object Detection From Unmanned Aerial Vehicles
  • Chapter 4
    Uav Flight And Landing Guidance System For Emergency Situations
  • Chapter 5
    Uav Positioning Mechanisms In Landing Stations: Classification And Engineering Design Review
  • Chapter 6
    Indoor Mapping Of Magnetic Fields Using Uav Equipped With Fluxgate Magnetometer
  • Chapter 7
    Suitability Of A Non-Dispersive Infrared Methane Sensor Package For Flux Quantification Using An Unmanned Aerial Vehicle
  • Chapter 8
    Automatic Landing Of Unmanned Aerial Vehicles Via Wireless Positioning System With Pseudo-Conical Scanning
  • Chapter 9
    V2x Communication Between Connected And Automated Vehicles (Cavs) And Unmanned Aerial Vehicles (Uavs)
  • Chapter 10
    Integrating Cognitive Radio With Unmanned Aerial Vehicles: An Overview
  • Chapter 11
    An Inexpensive Unmanned Aerial Vehicle-Based Tool For Mobile Network Output Analysis And Visualization
  • Chapter 12
    The Recent Advancement In Unmanned Aerial Vehicle Tracking Antenna: A Review
  • Chapter 13
    Field-Based Calibration Of Unmanned Aerial Vehicle Thermal Infrared Imagery With Temperature-Controlled References
  • Chapter 14
    Coverage Path Planning Methods Focusing On Energy Efficient And Cooperative Strategies For Unmanned Aerial Vehicles
  • Chapter 15
    Coverage Area Decision Model By Using Unmanned Aerial Vehicles Base Stations For Ad Hoc Networks
Readership: Students, academics, teachers and other people attending or interested in UAV(Unmanned Aerial Vehicle)
Cezary Specht
Department of Geodesy and Oceanography, Gdynia Maritime University, Gdynia, Poland

Mariusz Specht
Department of Transport and Logistics, Gdynia Maritime University, Gdynia, Poland

Claudio Cimarelli
Interdisciplinary Center for Security, Reliability and Trust (SnT), University of Luxembourg, 1855 Luxembourg, Luxembourg

Musa Galimov
Innopolis University, Center for Technologies in Robotics and Mechatronics Components

Khristopher Kabbabe
School of Mechanical, Aerospace and Civil Engineering, The University of Manchester, Oxford Road, Manchester M13 9PL, UK

and more...
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