Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic.

Hao Cheng; Wentong Liao; Michael Ying Yang; Monika Sester; Bodo Rosenhahn

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Original language	English
Publication status	E-pub ahead of print - 14 Feb 2020

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Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic. / Cheng, Hao; Liao, Wentong; Yang, Michael Ying et al.
2020.

Research output: Working paper/Preprint › Preprint

Cheng, H, Liao, W, Yang, MY, Sester, M & Rosenhahn, B 2020 'Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic.'. <https://arxiv.org/abs/2002.05966v1>

Cheng, H., Liao, W., Yang, M. Y., Sester, M., & Rosenhahn, B. (2020). Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic. Advance online publication. https://arxiv.org/abs/2002.05966v1

Cheng H, Liao W, Yang MY, Sester M , Rosenhahn B. Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic. 2020 Feb 14. Epub 2020 Feb 14.

Cheng, Hao ; Liao, Wentong ; Yang, Michael Ying et al. / Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic. 2020.

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Research@Leibniz University

Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic.

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