Imaging and Sensing for Unmanned Aircraft Systems, Volume 1 - Control and Performance (Hardcover)

This two-volume book set explores how sensors and computer vision technologies are used for the navigation, control, stability, reliability, guidance, fault detection, self-maintenance, strategic re-planning and reconfiguration of unmanned aircraft systems (UAS). Volume 1 concentrates on UAS control and performance methodologies including Computer Vision and Data Storage, Integrated Optical Flow for Detection and Avoidance Systems, Navigation and Intelligence, Modeling and Simulation, Multisensor Data Fusion, Vision in Micro-Aerial Vehicles (MAVs), Computer Vision in UAV using ROS, Security Aspects of UAV and Robot Operating System, Vision in Indoor and Outdoor Drones, Sensors and Computer Vision, and Small UAV for Persistent Surveillance. Volume 2 focuses on UAS deployment and applications including UAV-CPSs as a Testbed for New Technologies and a Primer to Industry 5.0, Human-Machine Interface Design, Open Source Software (OSS) and Hardware (OSH), Image Transmission in MIMO-OSTBC System, Image Database, Communications Requirements, Video Streaming, and Communications Links, Multispectral vs Hyperspectral Imaging, Aerial Imaging and Reconstruction of Infrastructures, Deep Learning as an Alternative to Super Resolution Imaging, and Quality of Experience (QoE) and Quality of Service (QoS).

General

Imprint:	Institution Of Engineering And Technology
Country of origin:	United Kingdom
Series:	Control, Robotics and Sensors
Release date:	June 2020
First published:	2020
Editors:	Vania V. Estrela (Researcher) • Jude Hemanth (Associate Professor) • Osamu Saotome (Professor) • George Nikolakopoulos (Professor) • Roberto Sabatini (Professor)
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover
Pages:	360
ISBN-13:	978-1-78561-642-6
Categories:	Books > Professional & Technical > Transport technology > Intelligent & automated transport system technology Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	1-78561-642-0
Barcode:	9781785616426

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