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Unsupervised Abnormality Detection Using Heterogeneous Autonomous Systems
To that effect, in this paper, a heterogeneous system is proposed which estimates the degree of abnormality of an unmanned surveillance drone, analyzing real-time image and IMU (Inertial Measurement Unit) sensor data in an unsupervised manner.
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