Reprint

Unmanned Aircraft Systems with Autonomous Navigation

Edited by
July 2023
222 pages
  • ISBN978-3-0365-8052-4 (Hardback)
  • ISBN978-3-0365-8053-1 (PDF)

This book is a reprint of the Special Issue Unmanned Aircraft Systems with Autonomous Navigation that was published in

Computer Science & Mathematics
Engineering
Physical Sciences
Summary

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.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
quadcopter; unnamed aerial vehicle; dynamic model; PID controller; fuzzy logic; genetic algorithm; intelligent control; unmanned aircraft systems (UASs); IMU; pressure sensors; angle-of-attack estimation; autonomous flight; flight mechanics; flight maneuvers; hybrid data and model driven; key-frame; motion primitives; iterative learning; sliding mode control; unmanned arial vehicles; trajectory tracking; air data system; flow angle; angle-of-attack; angle-of-sideslip; flight dynamics; flight testing; synthetic sensor; analytical redundancy; model-free; physics-based; flying ad-hoc network (FANET); millimeter-wave (mmWave); neighbor discovery; unmanned aerial vehicle (UAV); free-space optical communication; spatial mode diversity; unmanned aerial vehicle; emergency recovery communications; floods; beach litter; object detection; drone surveys; unmanned aerial vehicles (UAVs); deep learning; yolov5; geolocation; litter monitoring; beach cleaning; digital elevation models; unmanned aircraft systems; quadcopter; ZED 2 stereo camera; indoor localization; real-time application; sensor integrity; collision avoidance; sensor fusion; unmanned vehicles; n/a