Imaging and Sensing for Unmanned Aircraft Systems : Deployment and Applications (Control, Robotics and Sensors)

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Imaging and Sensing for Unmanned Aircraft Systems : Deployment and Applications (Control, Robotics and Sensors)

Estrela, Vania V. (EDT)/ Hemanth, Jude (EDT)/ Saotome, Osamu (EDT)

ウェブストア価格 ¥26,611（本体¥24,192）
Institution of Engineering and Technology（2020/06発売）
外貨定価 US$ 150.00
ポイント 241pt

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製本 Hardcover:ハードカバー版／ページ数 277 p.
言語 ENG
商品コード 9781785616440
DDC分類 629.13339

Full Description

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).

Chapter 1: UAV-CPSs as a test bed for new technologies and a primer to Industry 5.0
Chapter 2: UAS human factors and human-machine interface design
Chapter 3: Open-source software (OSS) and hardware (OSH) in UAVs
Chapter 4: Image transmission in UAV MIMO UWB-OSTBC system over Rayleigh channel using multiple description coding (MDC)
Chapter 5: Image database of low-altitude UAV flights with flight condition-logged for photogrammetry, remote sensing, and computer vision
Chapter 6: Communications requirements, video streaming, communications links and networked UAVs
Chapter 7: Multispectral vs hyperspectral imaging for unmanned aerial vehicles: current and prospective state of affairs
Chapter 8: Aerial imaging and reconstruction of infrastructures by UAVs
Chapter 9: Deep learning as an alternative to super-resolution imaging in UAV systems
Chapter 10: Quality of experience (QoE) and quality of service (QoS) in UAV systems
Chapter 11: Conclusions