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Autonomous Control of Unmanned Aerial Vehicles

Unmanned aerial vehicles (UAVs) are being increasingly used in different applications in both military and civilian domains. These applications include surveillance, reconnaissance, remote sensing, target acquisition, border patrol, infrastructure monitoring, aerial imaging, industrial inspection, a...

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Bibliographic Details
Main Author: Becerra, Victor
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
Subjects:
Autonomous Landing Area Selection
Disturbance
Fixed-time Extended State Observer (fteso)
Adrc
Aircraft
Uav Communication System
Super Twisting Extended State Observer (steso)
Aircraft Maintenance
Hardware-in-the-loop
Unmanned Aerial Vehicle
Image Processing
Vertical Control
N/a
Aerial Infrared Imagery
Adaptive Discrete Mesh
Heuristic Exploration
Distributed Swarm Control
Q-network
Real-time Ground Vehicle Detection
Bio-inspiration
Slung Load
History Of Engineering And Technology / Bicssc
Wind Disturbance
Simulation
Vertical Take Off
Octree
Horizontal Control
Reinforcement Learning
General Visual Inspection
Decoupling Algorithm
Sc-fdm
Sensor Fusion
Actuator Faults
Uas
Path Planning
Maneuver Decision
Performance Evaluation
Peak-to-average Power Ratio (papr)
Uav
Modulation
Tilt Rotors
Autonomous Control
Nonlinear Dynamics
Uav Automatic Landing
Remote Sensing
Coaxial-rotor
Quadrotor
Flight Mechanics
Monocular Visual Slam
Super Twisting Sliding Mode Controller (stsmc)
Agricultural Uav
Harmonic Extended State Observer
High-order Sliding Mode
Data Link
Multi-uav System
Convolutional Neural Network
Sliding Mode Control
Over-the-horizon Air Confrontation
Actuator Fault
Mass Eccentricity
Longitudinal Motion Model
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:Unmanned aerial vehicles (UAVs) are being increasingly used in different applications in both military and civilian domains. These applications include surveillance, reconnaissance, remote sensing, target acquisition, border patrol, infrastructure monitoring, aerial imaging, industrial inspection, and emergency medical aid. Vehicles that can be considered autonomous must be able to make decisions and react to events without direct intervention by humans. Although some UAVs are able to perform increasingly complex autonomous manoeuvres, most UAVs are not fully autonomous; instead, they are mostly operated remotely by humans. To make UAVs fully autonomous, many technological and algorithmic developments are still required. For instance, UAVs will need to improve their sensing of obstacles and subsequent avoidance. This becomes particularly important as autonomous UAVs start to operate in civilian airspaces that are occupied by other aircraft. The aim of this volume is to bring together the work of leading researchers and practitioners in the field of unmanned aerial vehicles with a common interest in their autonomy. The contributions that are part of this volume present key challenges associated with the autonomous control of unmanned aerial vehicles, and propose solution methodologies to address such challenges, analyse the proposed methodologies, and evaluate their performance.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
Physical Description:1 electronic resource (270 p.)
ISBN:books978-3-03921-031-2
9783039210305
9783039210312

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