Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach

Boris Ivanovic; Karen Leung; Edward Schmerling; Marco Pavone

doi:10.1109/LRA.2020.3043163

Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach

Boris Ivanovic, Karen Leung, Edward Schmerling, Marco Pavone

科研成果: 期刊稿件 › 文章 › 同行评审

源语言	英语
文章编号	9286482
页（从-至）	295-302
页数	8
期刊	IEEE Robotics and Automation Letters
卷	6
期	2
DOI	https://doi.org/10.1109/LRA.2020.3043163
出版状态	已出版 - 4月 2021
已对外发布	是

!!!ASJC Scopus Subject Areas

控制与系统工程
生物医学工程
人机交互
机械工程
计算机视觉和模式识别
计算机科学应用
控制和优化
人工智能

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10.1109/LRA.2020.3043163

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title = "Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach",

keywords = "Autonomous vehicle navigation, deep learning methods, social HRI",

author = "Boris Ivanovic and Karen Leung and Edward Schmerling and Marco Pavone",

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Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach

!!!ASJC Scopus Subject Areas

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