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UAV horizon tracking using memristors and cellular automata visual processing

Georgilas, Ioannis; Gale, Ella; Adamatzky, Andrew; Melhuish, Chris

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Authors

Ioannis Georgilas

Ella Gale

Chris Melhuish Chris.Melhuish@uwe.ac.uk
Professor of Robotics & Autonomous Systems



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 in- terface 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.

Citation

Georgilas, I., Gale, E., Adamatzky, A., & Melhuish, C. (2013, August). UAV horizon tracking using memristors and cellular automata visual processing. Paper presented at TAROS 2013, The 14th Conference Towards Autonomous Robotic Systems, St Anne's College, Oxford, UK

Presentation Conference Type Conference Paper (unpublished)
Conference Name TAROS 2013, The 14th Conference Towards Autonomous Robotic Systems
Conference Location St Anne's College, Oxford, UK
Start Date Aug 28, 2013
End Date Aug 30, 2013
Publication Date Aug 28, 2013
Deposit Date Jul 4, 2013
Publicly Available Date Mar 29, 2024
Peer Reviewed Peer Reviewed
Keywords cellular automata, memristors, image processing, UAV
Public URL https://uwe-repository.worktribe.com/output/928875
Additional Information Title of Conference or Conference Proceedings : TAROS 2013, The 14th Conference Towards Autonomous Robotic Systems

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