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Better machine understanding of pedestrian behaviors enables faster progress in modeling interactions between agents such as autonomous vehicles and humans.
Sr-lstm: State refinement for lstm towards pedestrian trajectory prediction
Pu Zhang, Wanli Ouyang, Pengfei Zhang, Jianru Xue, and Nanning Zheng · 2002
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A primer on kernel methods
Jean-Philippe Vert, Koji Tsuda, and Bernhard Schölkopf · 2004
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Pedestrian detection and tracking in far infrared images
Masahiro Yasuno, Noboru Yasuda, and Masayoshi Aoki · 2004
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Crowds by example
Alon Lerner, Yiorgos Chrysanthou, and Dani Lischinski · 2007
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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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The walking behaviour of pedestrian social groups and its impact on crowd dynamics
Mehdi Moussaïd, Niriaska Perozo, Simon Garnier, Dirk Helbing, and Guy Theraulaz · 2010
Earlier work this paper cites.
Identifying and tracking pedestrians based on sensor fusion and motion stability predictions
Basam Musleh, Fernando García, Javier Otamendi, José Mª Armingol, and Arturo De la Escalera · 2010
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Collision position predicting device, Sept. 30 2014
Kohei Morotomi, Masayuki Katoh, and Hideaki Hayashi · 2014
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Intention-aware online pomdp planning for autonomous driving in a crowd
Haoyu Bai, Shaojun Cai, Nan Ye, David Hsu, and Wee Sun Lee · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
Cited alongside, same era.
Social lstm: Human trajectory prediction in crowded spaces
Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, and Silvio Savarese · 2016
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2016
Cited alongside, same era.
Variational graph auto-encoders
Thomas N Kipf and Max Welling · 2016
Cited alongside, same era.
Motion planning and control of autonomous driving intelligence system based on risk potential optimization framework
Pongsathorn Raksincharoensak, Takahiro Hasegawa, and Masao Nagai · 2016
Cited alongside, same era.
Scene-lstm: A model for human trajectory prediction
Huynh Manh and Gita Alaghband · 2018
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Modeling relational data with graph convolutional networks
Michael Schlichtkrull, Thomas N Kipf, Peter Bloem, Rianne Van Den Berg, Ivan Titov, and Max Welling · 2018
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Wavelet pooling for convolutional neural networks
Travis Williams and Robert Li · 2018
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Spatial temporal graph convolutional networks for skeleton-based action recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
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Social-bigat: Multimodal trajectory forecasting using bicycle-gan and graph attention networks
Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín, Ian Reid, S Hamid Rezatofighi, and Silvio Savarese · 2019
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Graph convolutional matrix completion
Rianne van den Berg, Thomas N Kipf, and Max Welling · 2017
Cited alongside, same era.
Deformable convolutional networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
Cited alongside, same era.
An empirical evaluation of generic convolutional and recurrent networks for sequence modeling
Shaojie Bai, J Zico Kolter, and Vladlen Koltun · 2018
Cited alongside, same era.
Social gan: Socially acceptable trajectories with generative adversarial networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi · 2018
Cited alongside, same era.
Porca: Modeling and planning for autonomous driving among many pedestrians
Yuanfu Luo, Panpan Cai, Aniket Bera, David Hsu, Wee Sun Lee, and Dinesh Manocha · 2018
Cited alongside, same era.
Deepgcns: Can gcns go as deep as cnns?
Guohao Li, Matthias Muller, Ali Thabet, and Bernard Ghanem · 2019
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Conditional generative neural system for probabilistic trajectory prediction
Jiachen Li, Hengbo Ma, and Masayoshi Tomizuka · 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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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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Stochastic trajectory prediction with social graph network
Lidan Zhang, Qi She, and Ping Guo · 2019
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