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

Human behavior prediction models enable robots to anticipate how humans may react to their actions, and hence are instrumental to devising safe and proactive robot planning algorithms. However, modeling complex interaction dynamics and capturing the possibility of many possible outcomes in such inte...

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Veröffentlicht in:	IEEE robotics and automation letters Jg. 6; H. 2; S. 295 - 302
Hauptverfasser:	Ivanovic, Boris, Leung, Karen, Schmerling, Edward, Pavone, Marco
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.04.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Autonomous vehicle navigation Context modeling Data models deep learning methods Human behavior Mathematical model Planning Prediction models Predictive models Robots social HRI Taxonomy Trajectory
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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