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).
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