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Variational Autoencoder-Based Vehicle Trajectory Prediction with an Interpretable Latent Space
This paper introduces the Descriptive Variational Autoencoder (DVAE), an unsupervised and end-to-end trainable neural network for predicting vehicle trajectories that provides partial interpretability.
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