Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss

Argoverse: 3d tracking and forecasting with rich maps

Ming-Fang Chang, John W Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, and James Hays · 2019

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Multimodal trajectory predictions for autonomous driving using deep convolutional networks

Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, and Nemanja Djuric · 2019

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Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction

Yuning Chai, Benjamin Sapp, Mayank Bansal, and Dragomir Anguelov · 2020

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Learning lane graph representations for motion forecasting

Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, and Raquel Urtasun · 2020

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Reciprocal learning networks for human trajectory prediction

Hao Sun, Zhiqun Zhao, and Zhihai He · 2020

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Tnt: Target-driven trajectory prediction

Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, and Dragomir Anguelov · 2020

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Home: Heatmap output for future motion estimation

Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, and Fabien Moutarde · 2021

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Densetnt: End-to-end trajectory prediction from dense goal sets

Junru Gu, Chen Sun, and Hang Zhao · 2021

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Trajectory prediction with graph-based dual-scale context fusion

Original

Lu Zhang, Peiliang Li, Jing Chen, and Shaojie Shen · 2021

Cited alongside, same era.

Gohome: Graph-oriented heatmap output for future motion estimation

Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, and Fabien Moutarde · 2022

Cited alongside, same era.

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.

Wayformer: Motion forecasting via simple & efficient attention networks

Original

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

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Scene transformer: A unified architecture for predicting future trajectories of multiple agents

Jiquan Ngiam, Vijay Vasudevan, Benjamin Caine, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David J Weiss, Ben Sapp, Zhifeng Chen, and Jonathon Shlens · 2022

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Tenet: Transformer encoding network for effective temporal flow on motion prediction

Original

Yuting Wang, Hangning Zhou, Zhigang Zhang, Chen Feng, Huadong Lin, Chaofei Gao, Yizhi Tang, Zhenting Zhao, Shiyu Zhang, Jie Guo, Xuefeng Wang, Ziyao Xu, and Chi Zhang · 2022

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Dcms: Motion forecasting with dual consistency and multi-pseudo-target supervision

Maosheng Ye, Jiamiao Xu, Xunnong Xu, Tongyi Cao, and Qifeng Chen · 2022

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