Unmanned Aircraft Systems with Autonomous Navigation

This reprint sought high-quality contributions that highlight novel research results and emerging applications, addressing recent breakthroughs in UAS autonomous navigation and related fields, such as flight mechanics and control, structural design, sensor design, etc. The topics of interest include...

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Other Authors: Papa, Umberto (Editor), Napolitano, Marcello Rosario (Editor), Del Core, Giuseppe (Editor), Ponte, Salvatore (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Unmanned Aircraft Systems with Autonomous Navigation 
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520 |a This reprint sought high-quality contributions that highlight novel research results and emerging applications, addressing recent breakthroughs in UAS autonomous navigation and related fields, such as flight mechanics and control, structural design, sensor design, etc. The topics of interest included the following: two-dimensional and three-dimensional mapping, target detection, and obstacle avoidance; the active perception of targets in cluttered environments (foliage, forests, etc.); vision-based and optical flow techniques; sensors and sensor fusion techniques; design models for guidance and controlled flight; state estimation, data analysis and filtering techniques (KF, EKF, particle filtering, fuzzy logic, etc.); path planning and path management; optimal control and strategies (neural networks, fuzzy logic, reinforcement learning, evolutionary and genetic algorithms, AI, etc.); navigation in GPS-denied environments; autolanding and safe landing area definition (SLAD); environmental effects on UAVs (wind, etc.); autonomous UAV or MAV swarms, and distributed architectures; BVLOS autonomous navigation. 
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653 |a PID controller 
653 |a fuzzy logic 
653 |a genetic algorithm 
653 |a intelligent control 
653 |a unmanned aircraft systems (UASs) 
653 |a IMU 
653 |a pressure sensors 
653 |a angle-of-attack estimation 
653 |a autonomous flight 
653 |a flight mechanics 
653 |a flight maneuvers 
653 |a hybrid data and model driven 
653 |a key-frame 
653 |a motion primitives 
653 |a iterative learning 
653 |a sliding mode control 
653 |a unmanned arial vehicles 
653 |a trajectory tracking 
653 |a air data system 
653 |a flow angle 
653 |a angle-of-attack 
653 |a angle-of-sideslip 
653 |a flight dynamics 
653 |a flight testing 
653 |a synthetic sensor 
653 |a analytical redundancy 
653 |a model-free 
653 |a physics-based 
653 |a flying ad-hoc network (FANET) 
653 |a millimeter-wave (mmWave) 
653 |a neighbor discovery 
653 |a unmanned aerial vehicle (UAV) 
653 |a free-space optical communication 
653 |a spatial mode diversity 
653 |a unmanned aerial vehicle 
653 |a emergency recovery communications 
653 |a floods 
653 |a beach litter 
653 |a object detection 
653 |a drone surveys 
653 |a unmanned aerial vehicles (UAVs) 
653 |a deep learning 
653 |a yolov5 
653 |a geolocation 
653 |a litter monitoring 
653 |a beach cleaning 
653 |a digital elevation models 
653 |a unmanned aircraft systems 
653 |a ZED 2 stereo camera 
653 |a indoor localization 
653 |a real-time application 
653 |a sensor integrity 
653 |a collision avoidance 
653 |a sensor fusion 
653 |a unmanned vehicles 
653 |a n/a 
856 4 0 |a www.oapen.org  |u https://mdpi.com/books/pdfview/book/7555  |7 0  |z DOAB: download the publication 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/112442  |7 0  |z DOAB: description of the publication