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MACRo 2015

Proceedings of the 5th International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics

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2247-0948
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Embedded Implementation of a Resource-Efficient Optical Flow Extraction Method

László Bakó / Sándor-Tihamér Brassai
  • Department of Electrical Engineering, Faculty of Technical and Human Sciences, Sapientia Hungarian University of Transylvania, Tg. Mures
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/ Călin Enăchescu
Published Online: 2015-05-09 | DOI: https://doi.org/10.1515/macro-2015-0016

Abstract

The main goal of the proposed project is to enhance a mobile robot with evolutionary optimization capabilities for tasks like egomotion estimation and/or obstacle avoidance. The robot will learn to navigate different environments and will adapt to changing conditions. This implies the implementation of vision-based navigation of robots using artificial vision, computed with on-board FPGAs. The current paper aim to contribute on the implementation of a real-time motion extraction from video a feed using embedded FPGA circuits.

Keywords : Motion extraction; optical flow; embedded implementation; real-time; FPGA circuit; VHDL

References

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About the article

Received: 2015-01-25

Revised: 2015-02-09

Published Online: 2015-05-09

Published in Print: 2015-03-01


Citation Information: MACRo 2015, ISSN (Online) 2247-0948, DOI: https://doi.org/10.1515/macro-2015-0016.

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© 2015. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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