Article

SIFT-SNN for Traffic-Flow Infrastructure Safety: A Real-Time Context-Aware Anomaly Detection Framework

2025-12-03

Abstract excerpt

Automated anomaly detection in transportation infrastructures is essential for enhancing safety and reducing the operational costs associated with manual inspection protocols. This study presents an improved neuromorphic vision system, which extends the prior SIFT-SNN (Scale-Invariant Feature Transform–Spiking Neural Network) proof-of-concept by incorporating temporal feature aggregation for context-aware and sequ...

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Literature Corpus work: 75f551cf-d042-5188-9012-d63190f4c5c9
DOI: 10.20944/preprints202512.0391.v1

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SIFT-SNN for Traffic-Flow Infrastructure Safety: A Real-Time Context-Aware Anomaly Detection FrameworkDOI 10.20944/preprints202512.0391.v1Read

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