@inproceedings{687b1ed6b22c461da5f9def05c1df106,
title = "UAV horizon tracking using memristors and cellular automata visual processing",
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.",
keywords = "Cellular automata, Image processing, Memristors, UAV",
author = "Ioannis Georgilas and Ella Gale and Andrew Adamatzky and Chris Melhuish",
year = "2014",
doi = "10.1007/978-3-662-43645-5_9",
language = "English",
isbn = "9783662436448",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "64--75",
editor = "A. Natraj and S. Cameron and C. Melhuish and M. Witkowski",
booktitle = "Towards Autonomous Robotic Systems - 14th Annual Conference, TAROS 2013, Revised Selected Papers",
address = "Germany",
note = "14th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2013 ; Conference date: 28-08-2013 Through 30-08-2013",
}