METHOD, APPARATUS AND COMPUTER PROGRAM FOR CLASSIFYING RADAR DATA FROM A SCENE, METHOD, APPARATUS AND COMPUTER PROGRAM FOR TRAINING ONE OR MORE NEURAL NETWORKS TO CLASSIFY RADAR DATA

In accordance with an embodiment, a method includes: obtaining radar data from a scene; determining cadence-velocity data and micro range-Doppler data from the radar data; encoding the cadence-velocity data to obtain a cadence-velocity feature vector using a first trained autoencoder and encoding th...

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Bibliographische Detailangaben
Hauptverfasser: Hazra, Souvik, Peng, Xiangyuan, Servadei, Lorenzo
Format: Patent
Sprache:eng
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Zusammenfassung:In accordance with an embodiment, a method includes: obtaining radar data from a scene; determining cadence-velocity data and micro range-Doppler data from the radar data; encoding the cadence-velocity data to obtain a cadence-velocity feature vector using a first trained autoencoder and encoding the micro range-Doppler data to obtain a range-Doppler feature vector using a second trained autoencoder; decoding the cadence-velocity feature vector to obtain reconstructed cadence-velocity data using a first trained decoder and decoding the range-Doppler feature vector to obtain reconstructed range-Doppler data using a second trained decoder; determining first reconstruction loss information based on the cadence-velocity data and the reconstructed cadence-velocity data and determining second reconstruction loss information based on the micro range-Doppler data and the reconstructed range-Doppler data; and classifying the radar data based on the first reconstruction loss information and the second reconstruction loss information.