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Analyzing and forecasting trajectories of agents like pedestrians and cars in complex scenes has become more and more significant in many intelligent systems and applications.
Social force model for pedestrian dynamics
Dirk Helbing and Peter Molnar · 1995
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Crowds by example
Alon Lerner, Yiorgos Chrysanthou, and Dani Lischinski · 2007
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Agent-based modeling: A new approach for theory building in social psychology
Eliot R Smith and Frederica R Conrey · 2007
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Abnormal crowd behavior detection using social force model
Ramin Mehran, Alexis Oyama, and Mubarak Shah · 2009
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You’ll never walk alone: Modeling social behavior for multi-target tracking
Stefano Pellegrini, Andreas Ess, Konrad Schindler, and Luc Van Gool · 2009
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People tracking with human motion predictions from social forces
Matthias Luber, Johannes A Stork, Gian Diego Tipaldi, and Kai O Arras · 2010
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Social force model with explicit collision prediction
Francesco Zanlungo, Tetsushi Ikeda, and Takayuki Kanda · 2011
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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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Nba player movements
Kostya Linou, Dzmitryi Linou, and Martijn de Boer · 2016
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Learning social etiquette: Human trajectory understanding in crowded scenes
Alexandre Robicquet, Amir Sadeghian, Alexandre Alahi, and Silvio Savarese · 2016
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Learning and inferring “dark matter” and predicting human intents and trajectories in videos
Dan Xie, Tianmin Shu, Sinisa Todorovic, and Song-Chun Zhu · 2017
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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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Social ways: Learning multi-modal distributions of pedestrian trajectories with gans
Javad Amirian, Jean-Bernard Hayet, and Julien Pettré · 2019
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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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Peeking into the future: Predicting future person activities and locations in videos
Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G Hauptmann, and Li Fei-Fei · 2019
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Social and scene-aware trajectory prediction in crowded spaces
Matteo Lisotto, Pasquale Coscia, and Lamberto Ballan · 2019
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Sophie: An attentive gan for predicting paths compliant to social and physical constraints
Amir Sadeghian, Vineet Kosaraju, Ali Sadeghian, Noriaki Hirose, Hamid Rezatofighi, and Silvio Savarese · 2019
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Sr-lstm: State refinement for lstm towards pedestrian trajectory prediction
Pu Zhang, Wanli Ouyang, Pengfei Zhang, Jianru Xue, and Nanning Zheng · 2019
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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 · 2020
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Collaborative motion prediction via neural motion message passing
Yue Hu, Siheng Chen, Ya Zhang, and Xiao Gu · 2020
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Simaug: Learning robust representations from simulation for trajectory prediction
Junwei Liang, Lu Jiang, and Alexander Hauptmann · 2020
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It is not the journey but the destination: Endpoint conditioned trajectory prediction
Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, and Adrien Gaidon · 2020
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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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Stochastic trajectory prediction via motion indeterminacy diffusion
Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, and Jiwen Lu · 2022
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Muse-vae: Multi-scale vae for environment-aware long term trajectory prediction
Mihee Lee, Samuel S Sohn, Seonghyeon Moon, Sejong Yoon, Mubbasir Kapadia, and Vladimir Pavlovic · 2022
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Intention-interaction graph based hierarchical reasoning networks for human trajectory prediction
Cunyan Li, Hua Yang, and Jun Sun · 2022
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Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction
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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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Hao Xue, Du Q Huynh, and Mark Reynolds · 2020
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Spatio-temporal graph transformer networks for pedestrian trajectory prediction
Cunjun Yu, Xiao Ma, Jiawei Ren, Haiyu Zhao, and Shuai Yi · 2020
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Sparse motion fields for trajectory prediction
Catarina Barata, Jacinto C. Nascimento, João M. Lemos, and Jorge S. Marques · 2021
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Spectral temporal graph neural network for trajectory prediction
Defu Cao, Jiachen Li, Hengbo Ma, and Masayoshi Tomizuka · 2021
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Msr-gcn: Multi-scale residual graph convolution networks for human motion prediction
Lingwei Dang, Yongwei Nie, Chengjiang Long, Qing Zhang, and Guiqing Li · 2021
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Mancheng Meng, Ziyan Wu, Terrence Chen, Xiran Cai, Xiang Sean Zhou, Fan Yang, and Dinggang Shen · 2022
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Pedestrian 3d bounding box prediction
Saeed Saadatnejad, Yi Zhou Ju, and Alexandre Alahi · 2022
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Social interpretable tree for pedestrian trajectory prediction
Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Nanning Zheng, and Gang Hua · 2022
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Trajectory forecasting based on prior-aware directed graph convolutional neural network
Yuchao Su, Jie Du, Yuanman Li, Xia Li, Rongqin Liang, Zhongyun Hua, and Jiantao Zhou · 2022
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View vertically: A hierarchical network for trajectory prediction via fourier spectrums
Conghao Wong, Beihao Xia, Ziming Hong, Qinmu Peng, Wei Yuan, Qiong Cao, Yibo Yang, and Xinge You · 2022
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Cscnet: Contextual semantic consistency network for trajectory prediction in crowded spaces
Beihao Xia, Conghao Wong, Qinmu Peng, Wei Yuan, and Xinge You · 2022
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Human trajectory prediction via neural social physics
Jiangbei Yue, Dinesh Manocha, and He Wang · 2022
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Social-aware pedestrian trajectory prediction via states refinement lstm
Pu Zhang, Jianru Xue, Pengfei Zhang, Nanning Zheng, and Wanli Ouyang · 2022
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Fast inference and update of probabilistic density estimation on trajectory prediction
Takahiro Maeda and Norimichi Ukita · 2023
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Leapfrog diffusion model for stochastic trajectory prediction
Weibo Mao, Chenxin Xu, Qi Zhu, Siheng Chen, and Yanfeng Wang · 2023
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Representing multimodal behaviors with mean location for pedestrian trajectory prediction
Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Wei Tang, Nanning Zheng, and Gang Hua · 2023
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Eqmotion: Equivariant multi-agent motion prediction with invariant interaction reasoning
Chenxin Xu, Robby T Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, and Yanfeng Wang · 2023
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