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Imaging and sensing for unmanned aircraft systems Volume 2: Deployment and applications
Telecommunications Department, Federal Fluminense University, Niteroi, Brazil.
ECE Department, Karunya University, Coimbatore, India.
Instituto Tecnológico de Aeronáutica, Sao Jose dos Camp, Brazil .
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-0126-1897
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2020 (English)Collection (editor) (Other academic)
Abstract [en]

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 UAVP 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).

Place, publisher, year, edition, pages
Institution of Engineering and Technology , 2020. , p. 277
Keywords [en]
Aeronautics, Aerospace control, Autonomous aerial vehicles, Communication protocol layers, Computer vision and image processing techniques, Cyber-physical systems, Drone, General and management topics, General electrical engineering topics, Ground control station, High-dimensional sensor data, Image processing, Mechatronic framework, Mobile robots, Multi-dimensional sensors, Multimedia, Multimedia communications, Multimedia systems, Optical, image and video signal processing, Quality of service, Remotely piloted aircraft system, UAV cyber-physical system, Unmanned aerial vehicle, Unmanned aircraft system, Visual sensor and actuator networks, Wireless multimedia sensor network, Wireless sensor networks, Wirelessly connected sensor nodes, WMSN, WSNs
National Category
Computer Vision and Robotics (Autonomous Systems) Control Engineering
Research subject
Robotics and Artificial Intelligence
Identifiers
URN: urn:nbn:se:ltu:diva-95064DOI: 10.1049/PBCE120GScopus ID: 2-s2.0-85118000719ISBN: 9781785616440 (print)ISBN: 9781785616457 (electronic)OAI: oai:DiVA.org:ltu-95064DiVA, id: diva2:1722555
Available from: 2022-12-29 Created: 2022-12-29 Last updated: 2023-01-16Bibliographically approved

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Nikolakopoulos, George

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