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

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


The current awareness in unmanned aerial vehicles (UAVs) has prompted not only military applications but also civilian uses. Aerial vehicles’ requirements aspire to guarantee a higher level of safety comparable to see-and-avoid conditions for piloted aeroplanes. The process of probing obstacles in the path of a vehicle and determining whether they pose a threat, alongside measures to avoid these issues, is known as see and avoid or sense and avoid. Other types of decision-making tasks can be accomplished using computer vision and sensor integration since they have a great potential to improve the performance of the UAVs. Macroscopically, UAVs are cyber-physical systems (CPSs) that can benefit from all types of sensing frameworks, despite severe design constraints, such as precision, reliable communication, distributed processing capabilities and data management. This book is paying attention to several issues that are still under discussions in the field of UAV-CPSs. Thus, several trends and needs are discussed to foster criticism from the readers and to provide further food for thought.

Original languageBritish English
Title of host publicationImaging and Sensing for Unmanned Aircraft Systems
Subtitle of host publicationDeployment and Applications
PublisherInstitution of Engineering and Technology
Number of pages2
ISBN (Electronic)9781785616440
StatePublished - 1 Jan 2020


  • Aerial vehicle safety
  • Aerospace control
  • Autonomous aerial vehicles
  • Civilian uses
  • Computer vision
  • Computer vision
  • Computer vision and image processing techniques
  • Cyber-physical systems
  • Cyber-physical systems
  • Data management
  • Decision-making tasks
  • Distributed processing
  • Military applications
  • Mobile robots
  • Optical, image and video signal processing
  • Reliable communication
  • Safety
  • See and avoid
  • Sense and avoid
  • Sensor integration
  • UAV-CPSs
  • UAVs
  • Unmanned aerial vehicles


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