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Autonomous vehicles operating in complex real-world environments require accurate predictions of interactive behaviors between traffic participants.
Comparing models of strategic thinking in van huyck, battalio, and beil’s coordination games
Miguel A Costa-Gomes, Vincent P Crawford, and Nagore Iriberri · 2009
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Beyond equilibrium: Predicting human behavior in normal-form games
James R Wright and Kevin Leyton-Brown · 2010
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Social lstm: Human trajectory prediction in crowded spaces
Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, and Silvio Savarese · 2016
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Game theoretic modeling of driver and vehicle interactions for verification and validation of autonomous vehicle control systems
Nan Li, Dave W Oyler, Mengxuan Zhang, Yildiray Yildiz, Ilya Kolmanovsky, and Anouck R Girard · 2017
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Game theoretic modeling of vehicle interactions at unsignalized intersections and application to autonomous vehicle control
Nan Li, Ilya Kolmanovsky, Anouck Girard, and Yildiray Yildiz · 2018
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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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Deep imitative models for flexible inference, planning, and control
Nicholas Rhinehart, Rowan McAllister, and Sergey Levine · 2019
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End-to-end interpretable neural motion planner
Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, and Raquel Urtasun · 2019
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Can autonomous vehicles identify, recover from, and adapt to distribution shifts?
Angelos Filos, Panagiotis Tigkas, Rowan McAllister, Nicholas Rhinehart, Sergey Levine, and Yarin Gal · 2020
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Vectornet: Encoding hd maps and agent dynamics from vectorized representation
Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, and Cordelia Schmid · 2020
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Multi-modal sensor fusion-based deep neural network for end-to-end autonomous driving with scene understanding
Zhiyu Huang, Chen Lv, Yang Xing, and Jingda Wu · 2020
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Conservative q-learning for offline reinforcement learning
Aviral Kumar, Aurick Zhou, George Tucker, and Sergey Levine · 2020
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Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data
Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, and Marco Pavone · 2020
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Pip: Planning-informed trajectory prediction for autonomous driving
Haoran Song, Wenchao Ding, Yuxuan Chen, Shaojie Shen, Michael Yu Wang, and Qifeng Chen · 2020
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nuplan: A closed-loop ml-based planning benchmark for autonomous vehicles
Holger Caesar, Juraj Kabzan, Kok Seang Tan, Whye Kit Fong, Eric Wolff, Alex Lang, Luke Fletcher, Oscar Beijbom, and Sammy Omari · 2021
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Mp3: A unified model to map, perceive, predict and plan
Sergio Casas, Abbas Sadat, and Raquel Urtasun · 2021
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Lookout: Diverse multi-future prediction and planning for self-driving
Alexander Cui, Sergio Casas, Abbas Sadat, Renjie Liao, and Raquel Urtasun · 2021
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Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset
Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R Qi, Yin Zhou, et al · 2021
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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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Ide-net: Interactive driving event and pattern extraction from human data
Xiaosong Jia, Liting Sun, Masayoshi Tomizuka, and Wei Zhan · 2021
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Deep structured reactive planning
Recoat: A deep learning-based framework for multi-modal motion prediction in autonomous driving application
Zhiyu Huang, Xiaoyu Mo, and Chen Lv · 2022
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Multi-agent trajectory prediction by combining egocentric and allocentric views
Xiaosong Jia, Liting Sun, Hang Zhao, Masayoshi Tomizuka, and Wei Zhan · 2022
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Multi-agent trajectory prediction with heterogeneous edge-enhanced graph attention network
Xiaoyu Mo, Zhiyu Huang, Yang Xing, and Chen Lv · 2022
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Wayformer: Motion forecasting via simple & efficient attention networks
Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou, Kratarth Goel, Khaled S Refaat, and Benjamin Sapp · 2022
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Motion transformer with global intention localization and local movement refinement
Shaoshuai Shi, Li Jiang, Dengxin Dai, and Bernt Schiele · 2022
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Jerry Liu, Wenyuan Zeng, Raquel Urtasun, and Ersin Yumer · 2021
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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, et al · 2021
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Identifying driver interactions via conditional behavior prediction
Ekaterina Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Vadarajan, Benjamin Sapp, and Dragomir Anguelov · 2021
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Agentformer: Agent-aware transformers for socio-temporal multi-agent forecasting
Ye Yuan, Xinshuo Weng, Yanglan Ou, and Kris M Kitani · 2021
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Scept: Scene-consistent, policy-based trajectory predictions for planning
Yuxiao Chen, Boris Ivanovic, and Marco Pavone · 2022
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Deep interactive motion prediction and planning: Playing games with motion prediction models
Jose Luis Vazquez Espinoza, Alexander Liniger, Wilko Schwarting, Daniela Rus, and Luc Van Gool · 2022
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Gohome: Graph-oriented heatmap output for future motion estimation
Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, and Fabien Moutarde · 2022
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M2i: From factored marginal trajectory prediction to interactive prediction
Qiao Sun, Xin Huang, Junru Gu, Brian C Williams, and Hang Zhao · 2022
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Intersim: Interactive traffic simulation via explicit relation modeling
Qiao Sun, Xin Huang, Brian C Williams, and Hang Zhao · 2022
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Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction
Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi Pang Lam, Dragomir Anguelov, et al · 2022
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Social interactions for autonomous driving: A review and perspectives
Wenshuo Wang, Letian Wang, Chengyuan Zhang, Changliu Liu, Lijun Sun, et al · 2022
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Hivt: Hierarchical vector transformer for multi-agent motion prediction
Zikang Zhou, Luyao Ye, Jianping Wang, Kui Wu, and Kejie Lu · 2022
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Conditional predictive behavior planning with inverse reinforcement learning for human-like autonomous driving
Zhiyu Huang, Haochen Liu, Jingda Wu, and Chen Lv · 2023
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Differentiable integrated motion prediction and planning with learnable cost function for autonomous driving
Zhiyu Huang, Haochen Liu, Jingda Wu, and Chen Lv · 2023
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Towards capturing the temporal dynamics for trajectory prediction: a coarse-to-fine approach
Xiaosong Jia, Li Chen, Penghao Wu, Jia Zeng, Junchi Yan, Hongyang Li, and Yu Qiao · 2023
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Hdgt: Heterogeneous driving graph transformer for multi-agent trajectory prediction via scene encoding
Xiaosong Jia, Penghao Wu, Li Chen, Yu Liu, Hongyang Li, and Junchi Yan · 2023
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Bits: Bi-level imitation for traffic simulation
Danfei Xu, Yuxiao Chen, Boris Ivanovic, and Marco Pavone · 2023
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