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Automated low-altitude air delivery ...

Dauer, Johann C.

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Automated low-altitude air delivery = towards autonomous cargo transportation with drones /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Automated low-altitude air delivery/ edited by Johann C. Dauer.
Reminder of title:	towards autonomous cargo transportation with drones /
other author:	Dauer, Johann C.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xxi, 550 p. :ill., digital ;24 cm.
[NT 15003449]:	Aircraft Configurations -- System Components and Operation Environment -- Aircraft Automation and Higher Intelligence -- Validation and Discussion.
Contained By:	Springer Nature eBook
Subject:	Drone aircraft. -
Online resource:	https://doi.org/10.1007/978-3-030-83144-8
ISBN:	9783030831448

Automated low-altitude air delivery = towards autonomous cargo transportation with drones /
Automated low-altitude air deliverytowards autonomous cargo transportation with drones /[electronic resource] :edited by Johann C. Dauer. - Cham :Springer International Publishing :2022. - xxi, 550 p. :ill., digital ;24 cm. - Research topics in aerospace,2194-8259. - Research topics in aerospace..

Aircraft Configurations -- System Components and Operation Environment -- Aircraft Automation and Higher Intelligence -- Validation and Discussion.

This book investigates Unmanned Aircraft Systems (UAS) with a payload capacity of one metric ton for transportation. The authors provide a large variety of perspectives-from economics to technical realization. With the focus on such heavy-lift cargo UAS, the authors consider recently established methods for approval and certification, which they expect to be disruptive for unmanned aviation. In particular, the Specific Operations Risk Assessment (SORA) and its impact on the presented technological solutions and operational concepts are studied. Starting with the assumption of an operation over sparsely populated areas and below common air traffic, diverse measures to further reduce operational risks are proposed. Operational concepts derived from logistics use-cases set the context for an in-depth analysis including aircraft and system design, safe autonomy as well as airspace integration and datalinks. Results from simulations and technology demonstrations are presented as a proof of concept for solutions proposed in this book.

ISBN: 9783030831448

Standard No.: 10.1007/978-3-030-83144-8doiSubjects--Topical Terms:

805030
Drone aircraft.

LC Class. No.: TL685.35 / .A87 2022

Dewey Class. No.: 629.13339

Automated low-altitude air delivery = towards autonomous cargo transportation with drones /
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490 1 $a Research topics in aerospace, $x 2194-8259
505 0 $a Aircraft Configurations -- System Components and Operation Environment -- Aircraft Automation and Higher Intelligence -- Validation and Discussion.
520 $a This book investigates Unmanned Aircraft Systems (UAS) with a payload capacity of one metric ton for transportation. The authors provide a large variety of perspectives-from economics to technical realization. With the focus on such heavy-lift cargo UAS, the authors consider recently established methods for approval and certification, which they expect to be disruptive for unmanned aviation. In particular, the Specific Operations Risk Assessment (SORA) and its impact on the presented technological solutions and operational concepts are studied. Starting with the assumption of an operation over sparsely populated areas and below common air traffic, diverse measures to further reduce operational risks are proposed. Operational concepts derived from logistics use-cases set the context for an in-depth analysis including aircraft and system design, safe autonomy as well as airspace integration and datalinks. Results from simulations and technology demonstrations are presented as a proof of concept for solutions proposed in this book.
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650 0 $a Transport planes. $3 3590342
650 0 $a Low altitude aeronautics. $3 3590343
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650 2 4 $a Robotics and Automation. $3 1066695
650 2 4 $a Transportation Technology and Traffic Engineering. $3 2153276
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