Imaging and sensing for unmanned aircraft systems. volume 1: Control and performance

Vania V. Estrela, Jude Hemanth, Osamu Saotome, George Nikolakopoulos, Roberto Sabatini

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

5 Scopus citations

Abstract

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).

Original languageBritish English
Title of host publicationImaging and Sensing for Unmanned Aircraft Systems
Subtitle of host publicationControl and Performance
PublisherInstitution of Engineering and Technology
Pages1-346
Number of pages346
ISBN (Electronic)9781785616426
DOIs
StatePublished - 1 Jan 2020

Keywords

  • Autonomous aerial vehicles
  • Image sensors
  • Image sensors
  • Image sensors
  • Imaging capabilities
  • Mobile robots
  • Sensor and vision integration
  • UAV avionics

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