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Trajectory or behavior prediction of traffic agents is an important component of autonomous driving and robot planning in general.
Stochastic estimation of the maximum of a regression function
J. Kiefer and J. Wolfowitz · 1952
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Bandwidth selection for kernel density estimation
S.-T. Chiu · 1991
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Mixture density networks
C. M. Bishop · 1994
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Social force model for pedestrian dynamics
D. Helbing and P. Molnár · 1995
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Continuum crowds
A. Treuille, S. Cooper, and Z. Popović · 2006
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Crowds by example
A. Lerner, Y. Chrysanthou, and D. Lischinski · 2007
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Efficiently using cost maps for planning complex maneuvers
D. Ferguson · 2008
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An evaluation of models for predicting opponent positions in first-person shooter video games
S. Hladky and V. Bulitko · 2008
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Statistical analysis of motion patterns in ais data: Anomaly detection and motion prediction
B. Ristic, B. La Scala, M. Morelande, and N. Gordon · 2008
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Modelling Smooth Paths Using Gaussian Processes
M. K. C. Tay and C. Laugier · 2008
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Abnormal crowd behavior detection using social force model
R. Mehran, A. Oyama, and M. Shah · 2009
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You’ll never walk alone: Modeling social behavior for multi-target tracking
S. Pellegrini, A. Ess, K. Schindler, and L. van Gool · 2009
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A unified framework for multi-target tracking and collective activity recognition
W. Choi and S. Savarese · 2012
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Multivariate density estimation and visualization
D. W. Scott · 2012
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Auto-Encoding Variational Bayes
D. P. Kingma and M. Welling · 2013
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Cited alongside, same era.
Social lstm: Human trajectory prediction in crowded spaces
A. Alahi, K. Goel, V. Ramanathan, A. Robicquet, L. Fei-Fei, and S. Savarese · 2016
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A Point Set Generation Network for 3D Object Reconstruction from a Single Image
H. Fan, H. Su, and L. Guibas · 2016
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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi · 2016
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Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
C. Li and M. Wand · 2016
Where will they go? predicting fine-grained adversarial multi-agent motion using conditional variational autoencoders
P. Felsen, P. Lucey, and S. Ganguly · 2018
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Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
A. Gupta, J. Johnson, L. Fei-Fei, S. Savarese, and A. Alahi · 2018
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Expected minimum absolute difference to a given point correctly computed?
B. (https://math.stackexchange.com/users/297308/bgm) · 2018
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Planenet: Piece-wise planar reconstruction from a single RGB image
C. Liu, J. Yang, D. Ceylan, E. Yumer, and Y. Furukawa · 2018
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Fast and furious: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net
W. Luo, B. Yang, and R. Urtasun · 2018
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Generative Adversarial Text to Image Synthesis
S. Reed, Z. Akata, X. Yan, L. Logeswaran, B. Schiele, and H. Lee · 2016
Cited alongside, same era.
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders
J. Walker, C. Doersch, A. Gupta, and M. Hebert · 2016
Cited alongside, same era.
Probabilistic vehicle trajectory prediction over occupancy grid map via recurrent neural network
B. Kim, C. M. Kang, S. Lee, H. Chae, J. Kim, C. C. Chung, and J. W. Choi · 2017
Cited alongside, same era.
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
N. Lee, W. Choi, P. Vernaza, C. B. Choy, P. H. S. Torr, and M. Chand raker · 2017
Cited alongside, same era.
https://graphics.cs.ucy.ac.cy/research/downloads/crowd-data
”crowds-by-example” data set (zara1 dataset) · 2018
Cited alongside, same era.
http://www2.ece.ohio-state.edu/ coifman/documents/I80-NGSIM/
I-80 ngsim validation · 2018
Cited alongside, same era.
https://ops.fhwa.dot.gov/trafficanalysistools/ngsim.html
Next generation simulation dataset · 2018
Cited alongside, same era.
Later among the works it cites.
Scalable end-to-end autonomous vehicle testing via rare-event simulation
M. O Kelly, A. Sinha, H. Namkoong, R. Tedrake, and J. C. Duchi · 2018
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Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture
S. H. Park, B. Kim, C. Mook Kang, C. Choo Chung, and J. W. Choi · 2018
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R2p2: A reparameterized pushforward policy for diverse, precise generative path forecasting
N. Rhinehart, K. Kitani, and P. Vernaza · 2018
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SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
A. Sadeghian, V. Kosaraju, A. Sadeghian, N. Hirose, S. H. Rezatofighi, and S. Savarese · 2018
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High-resolution image synthesis and semantic manipulation with conditional gans
T.-C. Wang, M.-Y. Liu, J.-Y. Zhu, A. Tao, J. Kautz, and B. Catanzaro · 2018
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Inferring 3D Shapes from Image Collections using Adversarial Networks
M. Gadelha, A. Rai, S. Maji, and R. Wang · 2019
Closest in time.
Generative Hybrid Representations for Activity Forecasting with No-Regret Learning
J. Guan, Y. Yuan, K. M. Kitani, and N. Rhinehart · 2019
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Peeking into the Future: Predicting Future Person Activities and Locations in Videos
J. Liang, L. Jiang, J. C. Niebles, A. Hauptmann, and L. Fei-Fei · 2019
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PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
N. Rhinehart, R. McAllister, K. Kitani, and S. Levine · 2019
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The Simpler the Better: Constant Velocity for Pedestrian Motion Prediction
C. Schöller, V. Aravantinos, F. Lay, and A. Knoll · 2019
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