Advances in Unmanned Aerial Vehicles: State of the Art and the Road to AutonomyKimon P. Valavanis Unmanned Aerial Vehicles (UAVs) have seen unprecedented levels of growth in military and civilian application domains. Fixed-wing aircraft, heavier or lighter than air, rotary-wing (rotorcraft, helicopters), vertical take-off and landing (VTOL) unmanned vehicles are being increasingly used in military and civilian domains for surveillance, reconnaissance, mapping, cartography, border patrol, inspection, homeland security, search and rescue, fire detection, agricultural imaging, traffic monitoring, to name just a few application domains. When initially introduced during World War I, UAVs were criticized heavily as being unreliable and inaccurate, and only a handful of people recognized at that early stage their potential and (future) impact on cha- ing the battlefield. To nobody’s surprise, about a century later, the total market for UAVs will reach within a few years more than $16 billion, with the US Depa- ment of Defense (DOD) being the champion in funding initiatives, - search and development, as well as procurement. Europe, as a continent, is a very distant second player, expected to spend about €2 billion in research and development, and procurement. |
Contents
| 3 | |
A Historical Perspective on Unmanned Aerial Vehicles | 17 |
Airplane Basic Equations of Motion and OpenLoop Dynamics 49 | 51 |
A Survey | 73 |
A Tutorial Approach to Small Unmanned Helicopter Controller | 139 |
Design and Control of a Miniature Quadrotor | 173 |
Obstacle and Terrain Avoidance for Miniature Aerial Vehicles | 215 |
Vision Based Navigation and Target Tracking for Unmanned | 245 |
Robust Nonlinear Observers for Attitude Estimation of Mini | 343 |
Autonomous Solar UAV for Sustainable Flights 377 | 379 |
The Integration of a Multimodal MAV and Biomimetic Sensing | 407 |
Dynamic Localization of AirGround Wireless Sensor | 441 |
Decentralized Formation Tracking of MultiVehicle Systems | 454 |
Hardware in the Loop Tuning for a Volcanic Gas Sampling | 473 |
A Modular Onboard Processing System for Small Unmanned 495 | 494 |
Conclusions and the Road Ahead 533 | 535 |
Single and MultiUAV Relative Position Estimation Based | 267 |
Evolutionary Algorithm Based Path Planning for Multiple | 308 |
Other editions - View all
Advances in Unmanned Aerial Vehicles: State of the Art and the Road to Autonomy Kimon P. Valavanis No preview available - 2010 |
Advances in Unmanned Aerial Vehicles: State of the Art and the Road to Autonomy Kimon P. Valavanis No preview available - 2007 |
Advances in Unmanned Aerial Vehicles: State of the Art and the Road to Autonomy Kimon P. Valavanis No preview available - 2009 |
Common terms and phrases
aerial aileron aircraft airplane algorithm allows altitude angle applications approach attitude autonomous avoidance blob camera Chapter complete components computed Conference considered coordinates corresponding curve defined derivative described developed direction distance dynamics effect environments equations error estimation experiments field filter final flight flying forces formation frame function given ground helicopter hovering IEEE includes initial input International Italy limited linear localization loop matching measurements method mission mode motion navigation nodes object observer obstacle obtained on-board operating optimization output parameters path performance pitch planning platform position presented problem Proceedings processing reference relative respect Robotics roll sensor shown in Figure shows simulation solar stability step tion tracking trajectory unmanned values vector vehicle waypoint weight
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