UAV horizon tracking using memristors and cellular automata visual processing

Georgilas, I., Gale, E., Adamatzky, A. and Melhuish, C. (2013) UAV horizon tracking using memristors and cellular automata visual processing. In: TAROS 2013, The 14th Conference Towards Autonomous Robotic Systems, St Anne's College, Oxford, UK, 28-30th August 2013. Available from: http://eprints.uwe.ac.uk/20221

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Abstract/Description

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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:cellular automata, memristors, image processing, UAV
Faculty/Department:Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
ID Code:20221
Deposited By: Dr I. Georgilas
Deposited On:04 Jul 2013 09:25
Last Modified:24 May 2017 18:19

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