VectorFlow: Combining Images and Vectors for Traffic Occupancy and Flow Prediction

Very deep convolutional networks for large-scale image recognition

Original

K. Simonyan and A. Zisserman · 2014

Earlier work this paper cites.

VectorNet: Encoding hd maps and agent dynamics from vectorized representation

J. Gao, C. Sun, H. Zhao, Y. Shen, D. Anguelov, C. Li, and C. Schmid · 2020

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

J. Gu, C. Sun, and H. Zhao · 2021

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

J. Ngiam, V. Vasudevan, B. Caine, Z. Zhang, H.-T. L. Chiang, J. Ling, R. Roelofs, A. Bewley, C. Liu, A. Venugopal, et al · 2021

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

S. Ettinger, S. Cheng, B. Caine, C. Liu, H. Zhao, S. Pradhan, Y. Chai, B. Sapp, C. R. Qi, Y. Zhou, et al · 2021

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Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction

B. Varadarajan, A. Hefny, A. Srivastava, K. S. Refaat, N. Nayakanti, A. Cornman, K. Chen, B. Douillard, C. P. Lam, D. Anguelov, et al · 2022

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HYPER: Learned hybrid trajectory prediction via factored inference and adaptive sampling

X. Huang, G. Rosman, I. Gilitschenski, A. Jasour, S. G. McGill, J. J. Leonard, and B. C. Williams · 2022

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M2I: From factored marginal trajectory prediction to interactive prediction

Q. Sun, X. Huang, J. Gu, B. C. Williams, and H. Zhao · 2022

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StopNet: Scalable trajectory and occupancy prediction for urban autonomous driving

J. Kim, R. Mahjourian, S. Ettinger, M. Bansal, B. White, B. Sapp, and D. Anguelov · 2022

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Occupancy flow fields for motion forecasting in autonomous driving

R. Mahjourian, J. Kim, Y. Chai, M. Tan, B. Sapp, and D. Anguelov · 2022

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