Physical Signal Classification Via Deep Neural Networks

11/15/2018

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A Deep Neural Network is applied to classify physical signatures obtained from physical sensor measurements of running gasoline and diesel-powered vehicles and other devices. The classification provides information on the target identities as to vehicle type and even vehicle model. The physical measurements include acoustic, acceleration (vibration), geophonic, and magnetic.

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Physical Signal Classification Via Deep Neural Networks

Authors

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Physical Signal Classification Via Deep Neural Networks

Authors

Related Research

Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction

Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems

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