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

A method for training one or more neural networks to classify radar data, the method comprising:

• obtaining classified radar data from a scene;
• determining classified cadence-velocity data and classified micro range-Doppler data from the radar data;
• training a first autoencoder-decoder pair based on the classified cadence-velocity data to obtain cadence-velocity feature vectors from the first trained autoencoder;
• training a second autoencoder-decoder pair based on the classified range Doppler data to obtain range-Doppler feature vectors from the second trained autoencoder;
• and
• training a classifier based on the classified radar data, the cadence-velocity feature vectors and the range-Doppler feature vectors.

A radar system comprising:

• a first trained autoencoder configured to encoding cadence velocity data to obtain a cadence-velocity feature vector;
• a second trained autoencoder configured to encode micro range-Doppler data to obtain a range-Doppler feature vector;
• a first trained decoder configured to decode the cadence-velocity feature vector to obtain reconstructed cadence-velocity data;
• a second trained decoder configured to decode the range-Doppler feature vector to obtain reconstructed range-Doppler data;
• a trained neural network configured to classify radar data based on first reconstruction loss information and second reconstruction loss information;
• one or more processors;
• and
• one or more memories coupled to the one or more processors with instructions stored thereon, wherein the instructions, when executed by the one or more processors, enable the one or more processors to perform the steps of:
• obtaining the radar data from a radar sensor,
• determining the cadence-velocity data and the micro range-Doppler data from the radar data,
• determining the first reconstruction loss information based on the cadence-velocity data and the reconstructed cadence-velocity data and determining the second reconstruction loss information based on the micro range-Doppler data and the reconstructed range-Doppler data.