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Real-Time Embedded Computer Vision on UAVs

UAVision2018 Workshop Summary
  • Kristof Van BeeckEmail author
  • Tinne Tuytelaars
  • Davide Scarramuza
  • Toon Goedemé
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11130)

Abstract

In this paper we present an overview of the contributed work presented at the UAVision2018 ECCV workshop. This workshop focused on real-time image processing on-board of Unmanned Aerial Vehicles (UAVs). For such applications the computational complexity of state-of-the-art computer vision algorithms often conflicts with the need for real-time operation and the extreme resource limitations of the hardware. Apart from a summary of the accepted workshop papers, this work also aims to identify common challenges and concerns which were addressed by multiple authors during the workshop, and their proposed solutions.

Keywords

Computer vision Real-time UAVs Embedded hardware Deep learning GPUs Hardware optimizations 

Notes

Acknowledgements

This work is supported by the agency Flanders Innovation & Entrepreneurship (VLAIO) and Research Foundation - Flanders (FWO).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Kristof Van Beeck
    • 1
    Email author
  • Tinne Tuytelaars
    • 2
  • Davide Scarramuza
    • 3
  • Toon Goedemé
    • 1
  1. 1.EAVISE, Campus De Nayer, KU LeuvenSint-Katelijne-WaverBelgium
  2. 2.PSI, KU LeuvenLeuvenBelgium
  3. 3.Robotics and Perception Group, ETH ZürichZürichSwitzerland

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