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For autonomous vehicles (AVs) to behave appropriately on roads populated by human-driven vehicles, they must be able to reason about the uncertain intentions and decisions of other drivers from rich perceptual information.
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Context-aware trajectory prediction
Federico Bartoli, Giuseppe Lisanti, Lamberto Ballan, and Alberto Del Bimbo · 2017
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CARLA: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
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Coordinated multi-agent imitation learning
Hoang M Le, Yisong Yue, Peter Carr, and Patrick Lucey · 2017
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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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Forecasting interactive dynamics of pedestrians with fictitious play
Wei-Chiu Ma, De-An Huang, Namhoon Lee, and Kris M Kitani · 2017
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Concrete problems for autonomous vehicle safety: Advantages of Bayesian deep learning
Generative modeling of multimodal multi-human behavior
Boris Ivanovic, Edward Schmerling, Karen Leung, and Marco Pavone · 2018
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Glow: Generative flow with invertible 1x1 convolutions
Durk P Kingma and Prafulla Dhariwal · 2018
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Sequence-to-sequence prediction of vehicle trajectory via LSTM encoder-decoder architecture
SeongHyeon Park, ByeongDo Kim, Chang Mook Kang, Chung Choo Chung, and Jun Won Choi · 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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Rowan McAllister, Yarin Gal, Alex Kendall, Mark Van Der Wilk, Amar Shah, Roberto Cipolla, and Adrian Vivian Weller · 2017
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Multi-modal trajectory prediction of surrounding vehicles with maneuver based LSTMs
Nachiket Deo and Mohan M Trivedi · 2018
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Where will they go? Predicting fine-grained adversarial multi-agent motion using conditional variational autoencoders
Panna Felsen, Patrick Lucey, and Sujoy Ganguly · 2018
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Soft + hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection
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Hierarchical game-theoretic planning for autonomous vehicles
Jaime F Fisac, Eli Bronstein, Elis Stefansson, Dorsa Sadigh, S Shankar Sastry, and Anca D Dragan · 2018
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FFJORD: Free-form continuous dynamics for scalable reversible generative models
Will Grathwohl, Ricky TQ Chen, Jesse Betterncourt, Ilya Sutskever, and David Duvenaud · 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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Deep imitative models for flexible inference, planning, and control
Nicholas Rhinehart, Rowan McAllister, and Sergey Levine · 2018
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Multimodal probabilistic model-based planning for human-robot interaction
Edward Schmerling, Karen Leung, Wolf Vollprecht, and Marco Pavone · 2018
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Generative multi-agent behavioral cloning
Eric Zhan, Stephan Zheng, Yisong Yue, and Patrick Lucey · 2018
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nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2019
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Generative hybrid representations for activity forecasting with no-regret learning
Jiaqi Guan, Ye Yuan, Kris M Kitani, and Nicholas Rhinehart · 2019
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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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Multi-agent tensor fusion for contextual trajectory prediction
Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Baker, Yibiao Zhao, Yizhou Wang, and Ying Nian Wu · 2019
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