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- Titel:
Energy-efficient radar detection with spiking neural resonators via activity-gated sparsity on Intel Loihi 2
- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Reeb, Nico; Grabmann, Moritz; Lopez-Randulfe, Javier; Dietrich, Robin; Knoll, Alois
- Jahr:
- 2026
- Volltext / DOI:
- doi:10.1088/2634-4386/ae629d
- WWW:
- https://iopscience.iop.org/article/10.1088/2634-4386/ae629d/meta
- Hinweise:
- Radar sensors are a corner stone of autonomous driving, offering reliable perception under adverse weather and lighting conditions. However, the increasing resolution of modern automotive radar systems generates large data volumes that must be processed in real time, imposing significant computational and energy demands. This challenge is particularly acute in energy-constrained platforms such as electric vehicles and embedded devices, where power efficiency is critical. Neuromorphic computin...
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