A multimodal network combining an asynchronous graph neural network for events with a CNN for RGB images detects driving anomalies with competitive accuracy and lower response time than prior methods, but only on simulated event data.
Anticipating accidents in dashcam videos
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When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network
A multimodal network combining an asynchronous graph neural network for events with a CNN for RGB images detects driving anomalies with competitive accuracy and lower response time than prior methods, but only on simulated event data.