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Embedded Platforms for UAS Landing Path and Obstacle Detection = Integration and Development of Unmanned Aircraft Systems /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Embedded Platforms for UAS Landing Path and Obstacle Detection/ by Umberto Papa.
Reminder of title:	Integration and Development of Unmanned Aircraft Systems /
Author:	Papa, Umberto.
Description:	XIV, 112 p. 99 illus., 93 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial Intelligence. -
Online resource:	https://doi.org/10.1007/978-3-319-73174-2
ISBN:	9783319731742

Embedded Platforms for UAS Landing Path and Obstacle Detection = Integration and Development of Unmanned Aircraft Systems /
Papa, Umberto.

Embedded Platforms for UAS Landing Path and Obstacle DetectionIntegration and Development of Unmanned Aircraft Systems /[electronic resource] :by Umberto Papa. - 1st ed. 2018. - XIV, 112 p. 99 illus., 93 illus. in color.online resource. - Studies in Systems, Decision and Control,1362198-4182 ;. - Studies in Systems, Decision and Control,27.

Introduction to Unmanned Aircraft Systems (UAS) -- Sonar Sensor Model for Safe Landing -- Atmosphere effects on the SRS -- Integration among Ultrasonic and Infrared sensors -- UAS safe landing using an optical sensor -- UAS endurance enhancement -- Conclusions.

This book reports on the design and development of a system that assists remote pilots during the landing procedure. In particular, it covers a previously neglected topic, namely the search for the best pathway and landing site. It describes the system’s components, such as the ultrasonic sensor, infrared sensor and optical sensor, in detail, and discusses the experimental tests carried out in both controlled laboratory and real-world environments. Providing a fascinating survey of the state of the art in the field of unmanned aircraft system electronics design and development, the book also presents recent advances in and cutting-edge methodologies for the development of acquisition systems and inexpensive sensor design for navigation data.

ISBN: 9783319731742

Standard No.: 10.1007/978-3-319-73174-2doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Embedded Platforms for UAS Landing Path and Obstacle Detection = Integration and Development of Unmanned Aircraft Systems /
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