UAV horizon tracking using memristors and cellular automata visual processing

Ioannis Georgilas, Ella Gale, Andrew Adamatzky, Chris Melhuish

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Unmanned Aerial Vehicles (UAV)s can control their altitude and orientation using the horizon as a reference. Typically this task is performed via edge-detection vision processing techniques implemented in a computer or digital electronics. We demonstrate a proof-of-principle for a memristive cellular automata (CA) system which can simply interface with an analog electronic control system. Our aim is a cheaper, lighter and more robust low-level system. Low-quality, noisy and wide-angle images consistent with cheap cameras have been tested and, even with these issues, the system can recognise the tilt angle and express it as relative activation of cells at the edge of a CA which could be used to drive motors to right the aircraft.

Original languageEnglish
Title of host publicationTowards Autonomous Robotic Systems - 14th Annual Conference, TAROS 2013, Revised Selected Papers
EditorsA. Natraj, S. Cameron, C. Melhuish, M. Witkowski
Place of PublicationBerlin, Germany
PublisherSpringer Verlag
Pages64-75
Number of pages12
ISBN (Print)9783662436448
DOIs
Publication statusPublished - 2014
Event14th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2013 - Oxford, UK United Kingdom
Duration: 28 Aug 201330 Aug 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8069

Conference

Conference14th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2013
CountryUK United Kingdom
CityOxford
Period28/08/1330/08/13

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Keywords

  • Cellular automata
  • Image processing
  • Memristors
  • UAV

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Georgilas, I., Gale, E., Adamatzky, A., & Melhuish, C. (2014). UAV horizon tracking using memristors and cellular automata visual processing. In A. Natraj, S. Cameron, C. Melhuish, & M. Witkowski (Eds.), Towards Autonomous Robotic Systems - 14th Annual Conference, TAROS 2013, Revised Selected Papers (pp. 64-75). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8069 ). Berlin, Germany: Springer Verlag. https://doi.org/10.1007/978-3-662-43645-5_9