Becerra, Victor <br/><br/>
Autonomous Control of Unmanned Aerial Vehicles 

 -  MDPI - Multidisciplinary Digital Publishing Institute  2019 
 - 1 electronic resource (270 p.) 
<br/><br/> Open Access 
<br/><br/> 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. 
<br/><br/><br/>Creative Commons 
<br/><br/><br/>English 
<br/><br/><label>ISBN: </label>books978-3-03921-031-2 9783039210305 9783039210312 
<br/><br/><label>Standard No.: </label>10.3390/books978-3-03921-031-2  doi 
<br/><br/><label>Subjects--Index Terms: </label>n/a super twisting sliding mode controller (STSMC) monocular visual SLAM modulation bio-inspiration simulation horizontal control sensor fusion ADRC high-order sliding mode over-the-horizon air confrontation longitudinal motion model autonomous control real-time ground vehicle detection maneuver decision nonlinear dynamics UAV automatic landing harmonic extended state observer image processing General Visual Inspection actuator faults actuator fault remote sensing aerial infrared imagery agricultural UAV SC-FDM tilt rotors mass eccentricity wind disturbance decoupling algorithm adaptive discrete mesh disturbance super twisting extended state observer (STESO) heuristic exploration sliding mode control UAS Q-Network UAV communication system UAV reinforcement learning autonomous landing area selection peak-to-average power ratio (PAPR) slung load aircraft maintenance flight mechanics octree unmanned aerial vehicle convolutional neural network aircraft performance evaluation quadrotor vertical take off data link path planning coaxial-rotor fixed-time extended state observer (FTESO) multi-UAV system hardware-in-the-loop distributed swarm control vertical control