KR KR20250025339A
According to an embodiment of the present disclosure, provided is a method for training a model for anomaly detection, which is performed by a computing device. the method comprises the steps of: obtaining a plurality of sensor data from each of a plurality of sensors related to an unmanned moving object; performing preprocessing for aligning and compressing the plurality of sensor data based on time; generating a plurality of composite data from the plurality of preprocessed sensor data using an artificial intelligence-based pre-trained data augmentation model; and training an artificial intelligence-based anomaly detection model using the plurality of preprocessed sensor data and the plurality of composite data.
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