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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Embedded Platforms for UAS Landing Path and Obstacle Detection/ by Umberto Papa.
其他題名:	Integration and Development of Unmanned Aircraft Systems /
作者:	Papa, Umberto.
面頁冊數:	XIV, 112 p. 99 illus., 93 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	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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