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Computer vision and data storage in UAVs

Computer vision and data storage in UAVs

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Unmanned aerial vehicles (UAVs) handle operations such as inspection, mapping, monitoring, and surveying, to cite a few, that assist image processing, aerial imaging, and computer vision (CV) algorithms. The UAVs with cameras collect a massive amount of images and videos for various research and commercial applications. Furthermore, UAVs have various sensors, e.g., thermal, magnetic, sound, light, and speed, to collect environment details for specific research as well as commercial usages. Thus, this chapter focuses on acquiring, storing, processing, and compressing images and videos. This chapter describes how CV software impacts tasks such as processing, communications, storage, and compression besides other applications specific to a UAV cyber-physical system (CPS). Additionally, Section 2.2 explains the general architecture of the cloud-based UAV-CPS, the challenges, and design goals. Section 2.3 discusses memory usage in UAV, specific requirements, limitations of onboard storage, and general solutions. Section 2.4 briefs the UAV data logging (DL), primary benefits, and protocol standardisation with examples. Section 2.5 grants a view of the different types of DL, requirements, and proposes solutions. Section 2.6 discusses future trends of data storage, data processing, control, the impact of big data, complexity, privacy barriers, infrastructure, and other challenges.

Chapter Contents:

  • 2.1 Introduction
  • 2.1.1 Requirements
  • 2.1.2 Root file system
  • 2.1.3 Data logging
  • 2.1.4 Cloud support and virtualisation
  • 2.2 The architecture of the cloud-based UAV cyber-physical system
  • 2.3 UAV needs versus memory use
  • 2.3.1 Limitations of OVP
  • 2.3.2 General solutions and their viability analysis
  • 2.4 UAV data logging
  • 2.5 Types of data logging
  • 2.5.1 Requirements and recommended solutions
  • 2.5.2 Internal RAM with SD
  • 2.5.3 External RAM with SD
  • 2.5.4 External flash memory
  • 2.6 Discussion and future trends
  • 2.6.1 UAV-based data storage
  • 2.6.2 UAV-based data processing
  • 2.6.3 Distributed versus centralised control
  • 2.6.4 Impact of big data in UAV-CPSs
  • Infrastructure readiness
  • Complexity
  • Privacy
  • Barriers to BD processing in UAV-CPSs
  • 2.6.5 Challenges related to privacy and the protection of personal information
  • 2.6.6 Organisational and cultural barriers
  • 2.7 Conclusions
  • References

Inspec keywords: autonomous aerial vehicles; robot vision; remotely operated vehicles; control engineering computing; computer vision; cameras

Other keywords: specific research; computer vision algorithms; Section 2.3 discusses memory usage; commercial applications; aerial imaging; UAV cyber-physical system; unmanned aerial vehicles; cloud-based UAV-CPS; data storage; assist image processing; compressing images; data processing; UAV data logging

Subjects: Optical, image and video signal processing; Biology and medical computing; Computer vision and image processing techniques; Aerospace control; Control engineering computing; Mobile robots

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