04024nam a22006135i 4500 978-3-031-59754-1 DE-He213 20251030112314.0 cr nn 008mamaa 240616s2024 sz | s |||| 0|eng d 9783031597541 978-3-031-59754-1 10.1007/978-3-031-59754-1 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Ariante, Gennaro. author. aut http://id.loc.gov/vocabulary/relators/aut 78754 Embedded Platforms for UAS Landing Path and Obstacle Detection II [electronic resource] : Navigation Support Systems for Urban Air Mobility Operations / by Gennaro Ariante, Umberto Papa. 2nd ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XXVI, 114 p. 88 illus., 84 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Systems, Decision and Control, 2198-4190 ; 530 1. Urban Air Mobility: Definitions, Regulations and Technologies -- 2. Unmanned Aircraft System: State of the art -- 3. SLAD System: Introduction and Description -- 4. Experimental Data Collection and Applied methodologies -- 5. Atmospheric Effects Analysis on Sensors involved in SLAD system -- 6. Simulations Tests and Results -- 7. Bluetooth Low Energy Positioning Technology -- 8. Conclusions. This book reports on the design and development of a system that assists remote pilots during navigation. It focuses on the design and development of a ground station that assists remote pilots during maneuvers such as take-off or landing procedures, in case a high accuracy is required or the GNSS signal is lost. Continuing the tradition of the previous volume, and being its revised edition, this book covers the latest UAS regulations together with updated strategies for finding the best and safest trajectory and landing site, with a special focus on urban air mobility applications. It describes the system’s components, such as the LiDAR sensor, the temperature and humidity sensors, the Raspberry Pi 3 controller, and the Bluetooth Low Energy Transmitter, in detail. Further, it discusses the experimental tests carried out in both controlled laboratory settings and real-world environments. All in all, this book offers a timely survey of both regulations of and electronics design for unmanned aircraft systems, with extensive information on new methods and technologies for the development of Detect and Avoid systems for unmanned aerial vehicles. Computational intelligence. 64052 Electronics. 65899 Aerospace engineering. 66335 Astronautics. 66336 Artificial intelligence. 58441 Solar system. 73915 Computational Intelligence. 64052 Electronics and Microelectronics, Instrumentation. 65902 Aerospace Technology and Astronautics. 66339 Artificial Intelligence. 58441 Space Physics. 73916 Papa, Umberto. author. aut http://id.loc.gov/vocabulary/relators/aut 78755 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031597534 Printed edition: 9783031597558 Printed edition: 9783031597565 Studies in Systems, Decision and Control, 2198-4190 ; 530 https://doi.org/10.1007/978-3-031-59754-1 ZDB-2-INR ZDB-2-SXIT 60762 60762