| DOI | Trouver le DOI : https://doi.org/10.1145/3546790.3546800 |
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| Auteur | Rechercher : Stewart, Terrence1; Rechercher : Drouin, Marc-Antoine1; Rechercher : Picard, Michel1; Rechercher : Djupkep Dizeu, Frank Billy1; Rechercher : Orth, Anthony1; Rechercher : Gagné, Guillaume |
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| Affiliation | - Conseil national de recherches du Canada. Technologies numériques
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| Format | Texte, Article |
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| Conférence | ICONS: International Conference on Neuromorphic Systems, July 27-29, 2022, Knoxville TN USA |
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| Description physique | 7 p. |
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| Résumé | In previous work, we prototyped a portable drone detection system using a DAVIS 346 event camera and a Raspberry Pi 4, running in 5.14 W. Here, we expand on this work by switching to the higher-resolution DVXplorer and by including a small neural network classifier system. The resulting system improves the range at which drones can be recognized (from 9m to 19m). We also demonstrate our novel in-lab test system, capable of generating controlled training data across a wide variety of lighting and optical conditions. The new 100-neuron classification system runs at 100Hz with an accuracy of 98% on our field test and 96% on the in-lab test suite. |
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| Date de publication | 2022-07-27 |
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| Maison d’édition | ACM |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 614d19e6-2611-4092-9a44-5dc0160f8334 |
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| Enregistrement créé | 2022-10-05 |
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| Enregistrement modifié | 2022-10-05 |
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