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).
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).
- Chapter 1: Introduction to advances in UAV avionics for imaging and sensing
- Chapter 2: Computer vision and data storage in UAVs
- Chapter 3: Integrated optical flow for situation awareness, detection and avoidance systems in UAV systems
- Chapter 4: Introduction to navigation and intelligence for UAVs relying on computer vision
- Chapter 5: Modelling and simulation of UAV systems
- Chapter 6: Multisensor data fusion for vision-based UAV navigation and guidance
- Chapter 7: Vision-based UAV pose estimation
- Chapter 8: Vision in micro-aerial vehicles
- Chapter 9: Computer vision in UAV using ROS
- Chapter 10: Security aspects of UAV and robot operating system
- Chapter 11: Vision in indoor and outdoor drones
- Chapter 12: Sensors and computer vision as a means to monitor and maintain a UAV structural health
- Chapter 13: Small UAV: persistent surveillance made possible
- Chapter 14: Conclusions