UAV horizon tracking using memristors and cellular automata visual processing

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

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.

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: TAROS 2013, The 14th Conference Towards Autonomous Robotic Systems
• Start Date: Aug 28, 2013
• End Date: Aug 30, 2013
• Publication Date: Aug 28, 2013
• Deposit Date: Jul 4, 2013
• Publicly Available Date: Feb 12, 2016
• 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
• Contract Date: Feb 12, 2016