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Due to the stochasticity of human behaviors, predicting the future trajectories of road agents is challenging for autonomous driving.
A learning algorithm for continually running fully recurrent neural networks
Ronald J Williams and David Zipser · 1989
Earlier work this paper cites.
Goal-directed pedestrian prediction
Eike Rehder and Horst Kloeden · 2015
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Desire: Distant future prediction in dynamic scenes with interacting agents
Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B Choy, Philip HS Torr, and Manmohan Chandraker · 2017
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Intentnet: Learning to predict intention from raw sensor data
Sergio Casas, Wenjie Luo, and Raquel Urtasun · 2018
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Social gan: Socially acceptable trajectories with generative adversarial networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi · 2018
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Mx-lstm: mixing tracklets and vislets to jointly forecast trajectories and head poses
Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Alessio Del Bue, Fabio Galasso, and Marco Cristani · 2018
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R2p2: A reparameterized pushforward policy for diverse, precise generative path forecasting
Nicholas Rhinehart, Kris M Kitani, and Paul Vernaza · 2018
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Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction
Yuning Chai, Benjamin Sapp, Mayank Bansal, and Dragomir Anguelov · 2019
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Argoverse: 3d tracking and forecasting with rich maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, et al · 2019
Earlier work this paper cites.
Drogon: A causal reasoning framework for future trajectory forecast
Chiho Choi, Abhishek Patil, and Srikanth Malla · 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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Rules of the road: Predicting driving behavior with a convolutional model of semantic interactions
Joey Hong, Benjamin Sapp, and James Philbin · 2019
Earlier work this paper cites.
Discrete residual flow for probabilistic pedestrian behavior prediction
Ajay Jain, S. Casas, Renjie Liao, Y. Xiong, Song Feng, Sean Segal, and R. Urtasun · 2019
Earlier work this paper cites.
Precog: Prediction conditioned on goals in visual multi-agent settings
Nicholas Rhinehart, Rowan McAllister, Kris Kitani, and Sergey Levine · 2019
Earlier work this paper cites.
Stochastic prediction of multi-agent interactions from partial observations
Chen Sun, Per Karlsson, Jiajun Wu, Joshua B Tenenbaum, and Kevin Murphy · 2019
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Yichuan Charlie Tang and Ruslan Salakhutdinov · 2019
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Egocentric vision-based future vehicle localization for intelligent driving assistance systems
Yu Yao, Mingze Xu, Chiho Choi, David J Crandall, Ella M Atkins, and Behzad Dariush · 2019
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Diverse generation for multi-agent sports games
Raymond A Yeh, Alexander G Schwing, Jonathan Huang, and Kevin Murphy · 2019
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Diverse trajectory forecasting with determinantal point processes
Ye Yuan and Kris M Kitani · 2019
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Mantra: Memory augmented networks for multiple trajectory prediction
Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, and Alberto Del Bimbo · 2020
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Covernet: Multimodal behavior prediction using trajectory sets
Tung Phan-Minh, Elena Corina Grigore, Freddy A Boulton, Oscar Beijbom, and Eric M Wolff · 2020
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Recursive social behavior graph for trajectory prediction
Jianhua Sun, Qinhong Jiang, and Cewu Lu · 2020
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Stinet: Spatio-temporal-interactive network for pedestrian detection and trajectory prediction
Zhishuai Zhang, Jiyang Gao, Junhua Mao, Yukai Liu, Dragomir Anguelov, and Congcong Li · 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, et al · 2020
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S. Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, and R. Urtasun · 2020
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