Synergistic Simplex enables bidirectional cooperation between ML components and safety monitors in autonomous systems, preserving safety guarantees while improving performance.
What uncertainties do we need in bayesian deep learning for computer vision?
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
A neuromorphic edge system using event vision and sparse SNNs on Loihi 2 achieves up to 84% F1 score at 90 mW for privacy-preserving fall detection.
citing papers explorer
-
Synergistic Simplex: Cooperative Runtime Assurance for Safety-Critical Autonomous Systems
Synergistic Simplex enables bidirectional cooperation between ML components and safety monitors in autonomous systems, preserving safety guarantees while improving performance.
-
Privacy-preserving fall detection at the edge using Sony IMX636 event-based vision sensor and Intel Loihi 2 neuromorphic processor
A neuromorphic edge system using event vision and sparse SNNs on Loihi 2 achieves up to 84% F1 score at 90 mW for privacy-preserving fall detection.