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Understanding the interaction between multiple agents is crucial for realistic vehicle trajectory prediction.
Vehicle dynamics and external disturbance estimation for vehicle path prediction
Chiu-Feng Lin, A Galip Ulsoy, and David J LeBlanc · 2000
Earlier work this paper cites.
Where will the oncoming vehicle be the next second?
Alexander Barth and Uwe Franke · 2008
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Deep unsupervised clustering with gaussian mixture variational autoencoders
Nat Dilokthanakul, Pedro AM Mediano, Marta Garnelo, Matthew CH Lee, Hugh Salimbeni, Kai Arulkumaran, and Murray Shanahan · 2016
Earlier work this paper cites.
Semi-supervised classification with graph convolutional networks
Max Welling and Thomas N Kipf · 2016
Earlier work this paper cites.
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
Earlier work this paper cites.
Convolutional social pooling for vehicle trajectory prediction
Nachiket Deo and Mohan M Trivedi · 2018
Earlier work this paper cites.
Social gan: Socially acceptable trajectories with generative adversarial networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi · 2018
Earlier work this paper cites.
Neural relational inference for interacting systems
Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, and Richard Zemel · 2018
Earlier work this paper cites.
Social attention: Modeling attention in human crowds
Anirudh Vemula, Katharina Muelling, and Jean Oh · 2018
Earlier work this paper cites.
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.
The trajectron: Probabilistic multi-agent trajectory modeling with dynamic spatiotemporal graphs
Boris Ivanovic and Marco Pavone · 2019
Earlier work this paper cites.
Social-bigat: Multimodal trajectory forecasting using bicycle-gan and graph attention networks
Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín, Ian Reid, Hamid Rezatofighi, and Silvio Savarese · 2019
Earlier work this paper cites.
Structure-informed graph auto-encoder for relational inference and simulation
Yaguang Li, Chuizheng Meng, Cyrus Shahabi, and Yan Liu · 2019
Earlier work this paper cites.
Multiple futures prediction
Charlie Tang and Russ R Salakhutdinov · 2019
Earlier work this paper cites.
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 · 2020
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Implicit latent variable model for scene-consistent motion forecasting
Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, and Raquel Urtasun · 2020
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Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction
Yuning Chai, Benjamin Sapp, Mayank Bansal, and Dragomir Anguelov · 2020
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Forecasting trajectory and behavior of road-agents using spectral clustering in graph-lstms
Rohan Chandra, Tianrui Guan, Srujan Panuganti, Trisha Mittal, Uttaran Bhattacharya, Aniket Bera, and Dinesh Manocha · 2020
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Trajectory forecasts in unknown environments conditioned on grid-based plans
Nachiket Deo and Mohan M Trivedi · 2020
Cited alongside, same era.
Lapred: Lane-aware prediction of multi-modal future trajectories of dynamic agents
ByeoungDo Kim, Seokhwan Lee, Seong Hyeon Park, Elbek Khoshimjonov, Dongsuk Kum, Junsoo Kim, and Jun Won Choi · 2021
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Multimodal motion prediction with stacked transformers
Yicheng Liu, Jinghuai Zhang, Liangji Fang, Qinhong Jiang, and Bolei Zhou · 2021
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Likelihood-based diverse sampling for trajectory forecasting
Yecheng Jason Ma, Jeevana Priya Inala, Dinesh Jayaraman, and Osbert Bastani · 2021
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Tpcn: Temporal point cloud networks for motion forecasting
Maosheng Ye, Tongyi Cao, and Qifeng Chen · 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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Lanercnn: Distributed representations for graph-centric motion forecasting
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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
Cited alongside, same era.
Evolvegraph: Multi-agent trajectory prediction with dynamic relational reasoning
Jiachen Li, Fan Yang, Masayoshi Tomizuka, and Chiho Choi · 2020
Cited alongside, same era.
Learning lane graph representations for motion forecasting
Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, and Raquel Urtasun · 2020
Cited alongside, same era.
Multi-head attention for multi-modal joint vehicle motion forecasting
Jean Mercat, Thomas Gilles, Nicole El Zoghby, Guillaume Sandou, Dominique Beauvois, and Guillermo Pita Gil · 2020
Cited alongside, same era.
Covernet: Multimodal behavior prediction using trajectory sets
Tung Phan-Minh, Elena Corina Grigore, Freddy A Boulton, Oscar Beijbom, and Eric M Wolff · 2020
Cited alongside, same era.
Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data
Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, and Marco Pavone · 2020
Cited alongside, same era.
Spectral temporal graph neural network for trajectory prediction
Defu Cao, Jiachen Li, Hengbo Ma, and Masayoshi Tomizuka · 2021
Cited alongside, same era.
Wenyuan Zeng, Ming Liang, Renjie Liao, and Raquel Urtasun · 2021
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Map-adaptive goal-based trajectory prediction
Lingyao Zhang, Po-Hsun Su, Jerrick Hoang, Galen Clark Haynes, and Micol Marchetti-Bowick · 2021
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Tnt: Target-driven trajectory prediction
Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Ben Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, et al · 2021
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Non-probability sampling network for stochastic human trajectory prediction
Inhwan Bae, Jin-Hwi Park, and Hae-Gon Jeon · 2022
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Multimodal trajectory prediction conditioned on lane-graph traversals
Nachiket Deo, Eric Wolff, and Oscar Beijbom · 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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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, David J Weiss, Ben Sapp, Zhifeng Chen, and Jonathon Shlens · 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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Ganet: Goal area network for motion forecasting
Mingkun Wang, Xinge Zhu, Changqian Yu, Wei Li, Yuexin Ma, Ruochun Jin, Xiaoguang Ren, Dongchun Ren, Mingxu Wang, and Wenjing Yang · 2022
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Dcms: Motion forecasting with dual consistency and multi-pseudo-target supervision
Maosheng Ye, Jiamiao Xu, Xunnong Xu, Tongyi Cao, and Qifeng Chen · 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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