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Embedded platforms for uas landing path and obstacle detection IINavigation support systems for urban air mobility operations /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Embedded platforms for uas landing path and obstacle detection IIby Gennaro Ariante, Umberto Papa.
其他題名:	Navigation support systems for urban air mobility operations /
作者:	Ariante, Gennaro.
其他作者:	Papa, Umberto.
出版者:	Cham :Springer International Publishing :2024.
面頁冊數:	xxvi, 114 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Drone aircraft.
電子資源:	https://doi.org/10.1007/978-3-031-59754-1
ISBN:	9783031597541$q(electronic bk.)

Embedded platforms for uas landing path and obstacle detection IINavigation support systems for urban air mobility operations /
Ariante, Gennaro.

Embedded platforms for uas landing path and obstacle detection IINavigation support systems for urban air mobility operations /[electronic resource] :by Gennaro Ariante, Umberto Papa. - Second edition. - Cham :Springer International Publishing :2024. - xxvi, 114 p. :ill. (some col.), digital ;24 cm. - Studies in systems, decision and control,v. 5302198-4190 ;. - Studies in systems, decision and control ;v.3..

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.

ISBN: 9783031597541$q(electronic bk.)

Standard No.: 10.1007/978-3-031-59754-1doiSubjects--Topical Terms:

337979
Drone aircraft.

LC Class. No.: TL589.4

Dewey Class. No.: 629.1326

Embedded platforms for uas landing path and obstacle detection IINavigation support systems for urban air mobility operations /
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520 $a 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.
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