Multiverse Transformer: 1st Place Solution for Waymo Open Sim Agents Challenge 2023

Implicit latent variable model for scene-consistent motion forecasting

Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, and Raquel Urtasun · 2020

Earlier work this paper cites.

Vectornet: Encoding hd maps and agent dynamics from vectorized representation, 2020

Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, and Cordelia Schmid · 2020

Earlier work this paper cites.

Simnet: Learning reactive self-driving simulations from real-world observations

Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Blazej Osinski, Hugo Grimmett, and Peter Ondruska · 2021

Earlier work this paper cites.

Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset

Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles Qi, Yin Zhou, Zoey Yang, Pei Sun, and Dragomir Anguelov et al · 2021

Earlier work this paper cites.

Trafficsim: Learning to simulate realistic multi-agent behaviors

Simon Suo, Sebastian Regalado, Sergio Casas, and Raquel Urtasun · 2021

Earlier work this paper cites.

Agentformer: Agent-aware transformers for socio-temporal multi-agent forecasting

Ye Yuan, Xinshuo Weng, Yanglan Ou, and Kris Kitani · 2021

Earlier work this paper cites.

Pretr: Spatio-temporal non-autoregressive trajectory prediction transformer

Original

Lina Achaji, Thierno Barry, Thibault Fouqueray, Julien Moreau, Francois Aioun, and Francois Charpillet · 2022

Earlier work this paper cites.

Latent variable sequential set transformers for joint multi-agent motion prediction

Roger Girgis, Florian Golemo, Felipe Codevilla, Martin Weiss, Jim Aldon D’Souza, Samira Ebrahimi Kahou, Felix Heide, and Christopher Pal · 2022

Cited alongside, same era.

Symphony: Learning realistic and diverse agents for autonomous driving simulation

Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, and Shimon Whiteson · 2022

Cited alongside, same era.

Jfp: Joint future prediction with interactive multi-agent modeling for autonomous driving

Wenjie Luo, Cheolho Park, Andre Cornman, Benjamin Sapp, and Dragomir Anguelov · 2022

Cited alongside, same era.

Wayformer: Motion forecasting via simple and efficient attention networks

Original

Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou, Kratarth Goel, Khaled S. Refaat, and Benjamin Sapp · 2022

Cited alongside, same era.

Scene transformer: A unified architecture for predicting multiple agent trajectories

Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, and et al. Chenxi Liu · 2022

Bits: Bi-level imitation for traffic simulation

Original

Danfei Xu, Yuxiao Chen, Boris Ivanovic, and Marco Pavone · 2022

Later among the works it cites.

Trafficgen: Learning to generate diverse and realistic traffic scenarios

Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, and Bolei Zhou · 2023

Closest in time.

Motiondiffuser: Controllable multi-agent motion prediction using diffusion

Chiyu Max Jiang, Andre Cornman, Cheolho Park, Ben Sapp, Yin Zhou, and Dragomir Anguelov · 2023

Closest in time.

The waymo open sim agents challenge

Original

Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nick Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, and Dragomir Anguelov · 2023

Closest in time.

Trace and pace: Controllable pedestrian animation via guided trajectory diffusion

Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, and Or Litany · 2023