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).
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: 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
* 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
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