TrajVAE: A Variational AutoEncoder model for trajectory generation

Large-scale trajectory dataset is always required for self-driving and many other applications. In this paper, we focus on the trajectory generation problem, which aims to generate qualified trajectory dataset that is indistinguishable from real trajectories, for fulfilling the needs of large-scale...

Full description

Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 428; pp. 332 - 339
Main Authors:	Chen, Xinyu, Xu, Jiajie, Zhou, Rui, Chen, Wei, Fang, Junhua, Liu, Chengfei
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 07.03.2021
Subjects:	Generation model Long Short-Term Memory (LSTM) Trajectory generation Variational AutoEncoder (VAE) Trajectory generation Variational AutoEncoder (VAE) Long Short-Term Memory (LSTM) Generation model
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!