Anomaly Detection using Deep Reconstruction and Forecasting for Autonomous Systems

We propose self-supervised deep algorithms to detect anomalies in heterogeneous autonomous systems using frontal camera video and IMU readings. Given that the video and IMU data are not synchronized, each of them are analyzed separately... (read more)

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