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Predicting the future behavior of moving agents is essential for real world applications.
A learning algorithm for continually running fully recurrent neural networks
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Behavior of a mobile robot navigated by an" iterated forecast and planning" scheme in the presence of multiple moving obstacles
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A prediction and planning framework for road safety analysis, obstacle avoidance and driver information
A. Broadhurst, S. Baker, and T. Kanade · 2004
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Us highway 101 dataset
J. Colyar and H. John · 2007
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Planning-based prediction for pedestrians
B. D. Ziebart, N. Ratliff, G. Gallagher, C. Mertz, K. Peterson, J. A. Bagnell, M. Hebert, A. K. Dey, and S. Srinivasa · 2009
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Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2013
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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Variational inference with normalizing flows
D. J. Rezende and S. Mohamed · 2015
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Goal-directed pedestrian prediction
E. Rehder and H. Kloeden · 2015
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Improved techniques for training gans
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
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Forecasting social navigation in crowded complex scenes
A. Robicquet, A. Alahi, A. Sadeghian, B. Anenberg, J. Doherty, E. Wu, and S. Savarese · 2016
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Social LSTM: Human Trajectory Prediction in Crowded Spaces
A. Alahi, K. Goel, V. Ramanathan, A. Robicquet, L. Fei-Fei, and S. Savarese · 2016
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Generating long-term trajectories using deep hierarchical networks
S. Zheng, Y. Yue, and J. Hobbs · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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DESIRE: Distant future prediction in dynamic scenes with interacting agents
N. Lee, W. Choi, P. Vernaza, C. B. Choy, P. H. S. Torr, and M. Chandraker · 2017
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Activity forecasting
K. M. Kitani, D.-A. Huang, and W.-C. Ma · 2017
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Forecasting interactive dynamics of pedestrians with fictitious play
W.-C. Ma, D.-A. Huang, N. Lee, and K. M. Kitani · 2017
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Social GAN: Socially acceptable trajectories with generative adversarial networks
A. Gupta, J. Johnson, L. Fei-Fei, S. Savarese, and A. Alahi · 2018
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W. Zhan, L. Sun, D. Wang, H. Shi, A. Clausse, M. Naumann, J. Kümmerle, H. Königshof, C. Stiller, A. de La Fortelle, and M. Tomizuka · 2019
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Multimodal trajectory predictions for autonomous driving using deep convolutional networks
H. Cui, V. Radosavljevic, F.-C. Chou, T.-H. Lin, T. Nguyen, T.-K. Huang, J. Schneider, and N. Djuric · 2019
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Rules of the road: Predicting driving behavior with a convolutional model of semantic interactions
J. Hong, B. Sapp, and J. Philbin · 2019
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Diverse generation for multi-agent sports games
R. A. Yeh, A. G. Schwing, J. Huang, and K. Murphy · 2019
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Stochastic prediction of multi-agent interactions from partial observations
C. Sun, P. Karlsson, J. Wu, J. B. Tenenbaum, and K. Murphy · 2019
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R2P2: A reparameterized pushforward policy for diverse, precise generative path forecasting
N. Rhinehart, K. Kitani, and P. Vernaza · 2018
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The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems
R. Krajewski, J. Bock, L. Kloeker, and L. Eckstein · 2018
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Generative multi-agent behavioral cloning
E. Zhan, S. Zheng, Y. Yue, L. Sha, and P. Lucey · 2018
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Pedestrian prediction by planning using deep neural networks
E. Rehder, F. Wirth, M. Lauer, and C. Stiller · 2018
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Intentnet: Learning to predict intention from raw sensor data
S. Casas, W. Luo, and R. Urtasun · 2018
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PRECOG: Prediction conditioned on goals in visual multi-agent settings
N. Rhinehart, R. McAllister, K. Kitani, and S. Levine · 2019
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Multiple futures prediction
C. Tang and R. R. Salakhutdinov · 2019
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Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction
Y. Chai, B. Sapp, M. Bansal, and D. Anguelov · 2019
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CoverNet: Multimodal behavior prediction using trajectory sets
T. Phan-Minh, E. C. Grigore, F. A. Boulton, O. Beijbom, and E. M. Wolff · 2019
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Sophie: An attentive gan for predicting paths compliant to social and physical constraints
A. Sadeghian, V. Kosaraju, A. Sadeghian, N. Hirose, H. Rezatofighi, and S. Savarese · 2019
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Diverse trajectory forecasting with determinantal point processes
Y. Yuan and K. Kitani · 2020
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TPNet: Trajectory proposal network for motion prediction
L. Fang, Q. Jiang, J. Shi, and B. Zhou · 2020
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It is not the journey but the destination: Endpoint conditioned trajectory prediction
K. Mangalam, H. Girase, S. Agarwal, K.-H. Lee, E. Adeli, J. Malik, and A. Gaidon · 2020
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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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