Using neuromorphic cameras to track quadcopters

From National Research Council Canada

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DOI	Resolve DOI: https://doi.org/10.1145/3589737.3605987
Author	Search for: Stewart, Terrence C.¹ORCID identifier: https://orcid.org/0000-0002-1445-7613; Search for: Drouin, Marc-Antoine¹ORCID identifier: https://orcid.org/0000-0001-8344-0842; Search for: Picard, Michel¹ORCID identifier: https://orcid.org/0009-0003-5349-4833; Search for: Billy Djupkep, Frank ORCID identifier: https://orcid.org/0000-0002-0267-9163; Search for: Orth, Anthony ORCID identifier: https://orcid.org/0000-0001-5937-6254; Search for: Gagné, Guillaume ORCID identifier: https://orcid.org/0000-0002-2803-4283
Affiliation	National Research Council of Canada. Digital Technologies
Format	Text, Article
Conference	ICONS '23: 2023 International Conference on Neuromorphic Computing Systems, August 1-3, 2023, Santa Fe, New Mexico, USA
Subject	counter drone; counter uncrewed aerial systems (CUAS); neuromorphic cameras; quadcopters; tracking
Abstract	In recent work, we have shown that neuromorphic (event-based) cameras are highly efficient at detecting quadcopters. This is done by directly detecting the frequency of the rotating blades. This signal is highly characteristic of quadcopters, in that very few other real-world phenomena generate frequencies that are tightly clustered around a single peak. This makes this detection method highly robust to false positives, and can be generated with very little computational power. However, previous work in this direction has dealt only with detection of the presence of the drone. Here, we show that the same basic computations can also be used to localize the drone within the visual field of the camera. This allows for a system that not only alerts a user that a quadcopter is present, but also provides the extra information of where the drone is located. © 2023 Owner/Author(s).
Publication date	2023-08
Publisher	ACM
Licence	Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0 DEED) https://creativecommons.org/licenses/by-nc-sa/4.0/
In	Proceedings of the International Conference on Neuromorphic Systems 2023, 7 (August 2023): 1–5. https://doi.org/10.1145/3589737.
Language	English
Peer reviewed	Yes
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Record identifier	5a121a2f-bedb-4a93-852f-297a0c686416
Record created	2023-10-20
Record modified	2023-10-23

Date modified:: 2024-07-17