MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction-Reference-Cited by-同舟云学术

MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction

Published:2022-05-23 Issue: Volume: Page:
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Container-title:2022 International Conference on Robotics and Automation (ICRA)
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Author:

Varadarajan Balakrishnan¹,Hefny Ahmed¹,Srivastava Avikalp¹,Refaat Khaled S.¹,Nayakanti Nigamaa¹,Cornman Andre¹,Chen Kan¹,Douillard Bertrand¹,Lam Chi Pang¹,Anguelov Dragomir¹,Sapp Benjamin¹

Affiliation:

1. Waymo,Mountain View,California,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9811522/9811357/09812107.pdf?arnumber=9812107

Reference41 articles.

1. End-To-End Interpretable Neural Motion Planner

2. Trajectron++: Multi-agent generative trajectory forecasting with heterogeneous data for control;salzmann;ArXiv Preprint,2020

3. PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings

4. R2P2: A reparameterized pushforward policy for diverse, precise generative path forecasting;rhinehart;ECCV,0

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