Navigation Support Systems for Urban Air Mobility Operations Ariante, Gennaro. creator author. aut http://id.loc.gov/vocabulary/relators/aut Papa, Umberto. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 2nd ed. 2024. monographic eng

electronic

electronic resource

access XXVI, 114 p. 88 illus., 84 illus. in color. online resource. 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. 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. by Gennaro Ariante, Umberto Papa. Computational intelligence Electronics Aerospace engineering Astronautics Artificial intelligence Solar system Computational Intelligence Electronics and Microelectronics, Instrumentation Aerospace Technology and Astronautics Artificial Intelligence Space Physics Q342 9783031597541 https://doi.org/10.1007/978-3-031-59754-1 https://doi.org/10.1007/978-3-031-59754-1 240616 20251030112314.0 978-3-031-59754-1