IMRA (France)
Our PoC system that can detect pedestrian with low energy consumption realized by event camera, SNN and neuromorphic hardware was presented at Internal Conference on Machine Vision Applications (MVA) 2023. In our paper, we showed that our Spiking Neural Network for pedestrian detection was ported onto a neuromorphic hardware named SpiNNaker. Our achievement in the research of data representation for event data, especially time stamp information for moving object detection, was shown at Internati
Basic Information
- Category: business
- Website: http://www.imra-europe.com/
Documented Facts
- Inception (Wikidata): 1986 (Source 2: Wikidata Q30273759, revision 2474121452)
- Country (Wikidata; date unspecified): France (Source 2: Wikidata Q30273759, revision 2474121452; Source 3: Wikidata label: Q142, revision 2555583941)
- Official website (Wikidata; date unspecified): http://www.imra-europe.com/ (Source 2: Wikidata Q30273759, revision 2474121452)
Evidence and Sources
- IMRA (France) — Official Website (official)
- Wikidata Q30273759, revision 2474121452 (knowledge-base)
- Wikidata label: Q142, revision 2555583941 (knowledge-base)
Citation Guidance
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- Recorded profile date: 2026-04-22
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AI summary
Our PoC system that can detect pedestrian with low energy consumption realized by event camera, SNN and neuromorphic hardware was presented at Internal Conference on Machine Vision Applications (MVA) 2023. In our paper, we showed that our Spiking Neural Network for pedestrian detection was ported onto a neuromorphic hardware named SpiNNaker. Our achievement in the research of data representation for event data, especially time stamp information for moving object detection, was shown at Internati
Available profile information
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- 2 supporting sources linked.
- 3 structured facts available for extraction.
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