A semantic graph framework propagates risk scores derived from a national accident database across spatial object relations, reporting 75% binary risk detection accuracy on 20 human-annotated NYU V2 home images.
Deep-learning-based context-aware multi-level information fusion framework for indoor mobile robots,
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Context-Aware Risk Estimation in Home Environments: A Probabilistic Framework for Service Robots
A semantic graph framework propagates risk scores derived from a national accident database across spatial object relations, reporting 75% binary risk detection accuracy on 20 human-annotated NYU V2 home images.