Using neuromorphic cameras to track quadcopters

Par Conseil national de recherches du Canada

Téléchargement	Voir la version finale : Using neuromorphic cameras to track quadcopters (PDF, 949 Kio)
DOI	Trouver le DOI : https://doi.org/10.1145/3589737.3605987
Auteur	Rechercher : Stewart, Terrence C.¹Identifiant ORCID : https://orcid.org/0000-0002-1445-7613; Rechercher : Drouin, Marc-Antoine¹Identifiant ORCID : https://orcid.org/0000-0001-8344-0842; Rechercher : Picard, Michel¹Identifiant ORCID : https://orcid.org/0009-0003-5349-4833; Rechercher : Billy Djupkep, Frank Identifiant ORCID : https://orcid.org/0000-0002-0267-9163; Rechercher : Orth, Anthony Identifiant ORCID : https://orcid.org/0000-0001-5937-6254; Rechercher : Gagné, Guillaume Identifiant ORCID : https://orcid.org/0000-0002-2803-4283
Affiliation	Conseil national de recherches du Canada. Technologies numériques
Format	Texte, Article
Conférence	ICONS '23: 2023 International Conference on Neuromorphic Computing Systems, August 1-3, 2023, Santa Fe, New Mexico, USA
Sujet	counter drone; counter uncrewed aerial systems (CUAS); neuromorphic cameras; quadcopters; tracking
Résumé	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).
Date de publication	2023-08
Maison d’édition	ACM
Licence	Creative Commons Attribution - Pas d’Utilisation Commerciale - Partage dans les Mêmes Conditions 4.0 International (CC BY-NC-SA 4.0 DEED) https://creativecommons.org/licenses/by-nc-sa/4.0/deed.fr
Dans	Proceedings of the International Conference on Neuromorphic Systems 2023, 7 (août 2023) : 1–5. https://doi.org/10.1145/3589737.
Langue	anglais
Publications évaluées par des pairs	Oui
Exporter la notice	Exporter en format RIS
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Identificateur de l’enregistrement	5a121a2f-bedb-4a93-852f-297a0c686416
Enregistrement créé	2023-10-20
Enregistrement modifié	2023-10-23

Date de modification :: 2024-06-29