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230811 ||| eng |
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|a books978-3-0365-8053-1
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|a 9783036580531
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| 020 |
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|a 9783036580524
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| 100 |
1 |
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|a Papa, Umberto
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| 245 |
0 |
0 |
|a Unmanned Aircraft Systems with Autonomous Navigation
|h Elektronische Ressource
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| 260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
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| 300 |
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|a 1 electronic resource (222 p.)
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| 653 |
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|a Energy industries and utilities / bicssc
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| 653 |
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|a flying ad-hoc network (FANET)
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| 653 |
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|a model-free
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| 653 |
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|a unmanned aerial vehicles (UAVs)
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| 653 |
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|a iterative learning
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| 653 |
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|a genetic algorithm
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| 653 |
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|a unmanned aerial vehicle
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| 653 |
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|a angle-of-attack estimation
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| 653 |
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|a n/a
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| 653 |
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|a deep learning
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| 653 |
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|a unmanned aerial vehicle (UAV)
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| 653 |
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|a PID controller
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| 653 |
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|a unmanned vehicles
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| 653 |
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|a flight maneuvers
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| 653 |
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|a spatial mode diversity
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| 653 |
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|a History of engineering and technology / bicssc
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| 653 |
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|a analytical redundancy
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| 653 |
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|a neighbor discovery
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| 653 |
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|a emergency recovery communications
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| 653 |
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|a digital elevation models
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| 653 |
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|a Technology: general issues / bicssc
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| 653 |
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|a autonomous flight
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| 653 |
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|a quadcopter
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| 653 |
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|a litter monitoring
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| 653 |
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|a pressure sensors
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| 653 |
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|a unmanned aircraft systems
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| 653 |
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|a intelligent control
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| 653 |
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|a ZED 2 stereo camera
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| 653 |
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|a beach litter
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| 653 |
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|a object detection
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| 653 |
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|a yolov5
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| 653 |
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|a free-space optical communication
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| 653 |
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|a sensor fusion
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| 653 |
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|a collision avoidance
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| 653 |
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|a drone surveys
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| 653 |
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|a unnamed aerial vehicle
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| 653 |
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|a beach cleaning
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| 653 |
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|a key-frame
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| 653 |
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|a indoor localization
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| 653 |
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|a millimeter-wave (mmWave)
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| 653 |
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|a air data system
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| 653 |
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|a IMU
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| 653 |
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|a angle-of-attack
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| 653 |
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|a unmanned arial vehicles
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| 653 |
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|a flight dynamics
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| 653 |
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|a physics-based
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| 653 |
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|a fuzzy logic
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| 653 |
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|a unmanned aircraft systems (UASs)
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| 653 |
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|a sensor integrity
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| 653 |
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|a real-time application
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| 653 |
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|a flight mechanics
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| 653 |
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|a floods
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| 653 |
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|a angle-of-sideslip
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| 653 |
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|a dynamic model
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| 653 |
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|a trajectory tracking
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| 653 |
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|a hybrid data and model driven
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| 653 |
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|a sliding mode control
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| 653 |
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|a flow angle
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| 653 |
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|a geolocation
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| 653 |
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|a synthetic sensor
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| 653 |
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|a flight testing
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| 653 |
|
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|a motion primitives
|
| 700 |
1 |
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|a Napolitano, Marcello Rosario
|
| 700 |
1 |
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|a Del Core, Giuseppe
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| 700 |
1 |
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|a Ponte, Salvatore
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
|
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|b DOAB
|a Directory of Open Access Books
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| 500 |
|
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
| 028 |
5 |
0 |
|a 10.3390/books978-3-0365-8053-1
|
| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/7555
|7 0
|x Verlag
|3 Volltext
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/112442
|z DOAB: description of the publication
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|a 900
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|a 800
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|a 333
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|a 620
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|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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