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Predicting future locations of agents in the scene is an important problem in self-driving.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2015
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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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Desire: Distant future prediction in dynamic scenes with interacting agents
N. Lee, W. Choi, P. Vernaza, C. B. Choy, P. H. Torr, and M. Chandraker · 2017
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Attention is all you need
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Intentnet: Learning to predict intention from raw sensor data
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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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Multi-modal trajectory prediction of surrounding vehicles with maneuver based lstms
N. Deo and M. M. Trivedi · 2018
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Multiple futures prediction
C. Tang and R. R. Salakhutdinov · 2019
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Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction
Y. Chai, B. Sapp, M. Bansal, and D. Anguelov · 2019
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Multimodal trajectory predictions for autonomous driving using deep convolutional networks
H. Cui, V. Radosavljevic, F.-C. Chou, T.-H. Lin, T. Nguyen, T.-K. Huang, J. Schneider, and N. Djuric · 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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Rules of the road: Predicting driving behavior with a convolutional model of semantic interactions
J. Hong, B. Sapp, and J. Philbin · 2019
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Diverse trajectory forecasting with determinantal point processes
Y. Yuan and K. Kitani · 2019
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Argoverse: 3d tracking and forecasting with rich maps
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Covernet: Multimodal behavior prediction using trajectory sets
T. Phan-Minh, E. C. Grigore, F. A. Boulton, O. Beijbom, and E. M. Wolff · 2020
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Prank: motion prediction based on ranking
Y. Biktairov, M. Stebelev, I. Rudenko, O. Shliazhko, and B. Yangel · 2020
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Learning lane graph representations for motion forecasting
M. Liang, B. Yang, R. Hu, Y. Chen, R. Liao, S. Feng, and R. Urtasun · 2020
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Vectornet: Encoding hd maps and agent dynamics from vectorized representation
J. Gao, C. Sun, H. Zhao, Y. Shen, D. Anguelov, C. Li, and C. Schmid · 2020
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What-if motion prediction for autonomous driving
S. Khandelwal, W. Qi, J. Singh, A. Hartnett, and D. Ramanan · 2020
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Multi-head attention for multi-modal joint vehicle motion forecasting
Gohome: Graph-oriented heatmap output for future motion estimation
T. Gilles, S. Sabatini, D. Tsishkou, B. Stanciulescu, and F. Moutarde · 2021
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Lanercnn: Distributed representations for graph-centric motion forecasting
W. Zeng, M. Liang, R. Liao, and R. Urtasun · 2021
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TNT: Target-driven trajectory prediction
H. Zhao, J. Gao, T. Lan, C. Sun, B. Sapp, B. Varadarajan, Y. Shen, Y. Shen, Y. Chai, C. Schmid, et al · 2021
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DenseTNT: End-to-end trajectory prediction from dense goal sets
J. Gu, C. Sun, and H. Zhao · 2021
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Home: Heatmap output for future motion estimation
T. Gilles, S. Sabatini, D. Tsishkou, B. Stanciulescu, and F. Moutarde · 2021
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Tpcn: Temporal point cloud networks for motion forecasting
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J. Mercat, T. Gilles, N. El Zoghby, G. Sandou, D. Beauvois, and G. P. Gil · 2020
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Plop: Probabilistic polynomial objects trajectory planning for autonomous driving
T. Buhet, E. Wirbel, A. Bursuc, and X. Perrotton · 2020
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Diverse and admissible trajectory forecasting through multimodal context understanding
S. H. Park, G. Lee, J. Seo, M. Bhat, M. Kang, J. Francis, A. Jadhav, P. P. Liang, and L.-P. Morency · 2020
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Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data
T. Salzmann, B. Ivanovic, P. Chakravarty, and M. Pavone · 2020
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DiversityGAN: Diversity-aware vehicle motion prediction via latent semantic sampling
X. Huang, S. G. McGill, J. A. DeCastro, L. Fletcher, J. J. Leonard, B. C. Williams, and G. Rosman · 2020
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Temporal graph networks for deep learning on dynamic graphs
E. Rossi, B. Chamberlain, F. Frasca, D. Eynard, F. Monti, and M. Bronstein · 2020
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A simple framework for contrastive learning of visual representations
T. Chen, S. Kornblith, M. Norouzi, and G. Hinton · 2020
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M. Ye, T. Cao, and Q. Chen · 2021
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Thomas: Trajectory heatmap output with learned multi-agent sampling
T. Gilles, S. Sabatini, D. Tsishkou, B. Stanciulescu, and F. Moutarde · 2021
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Multimodal motion prediction with stacked transformers
Y. Liu, J. Zhang, L. Fang, Q. Jiang, and B. Zhou · 2021
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Multi-modal motion prediction with transformer-based neural network for autonomous driving
Z. Huang, X. Mo, and C. Lv · 2021
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Learning to predict vehicle trajectories with model-based planning
H. Song, D. Luan, W. Ding, M. Y. Wang, and Q. Chen · 2021
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Trajectory prediction with graph-based dual-scale context fusion
L. Zhang, P. Li, J. Chen, and S. Shen · 2021
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Autobots: Latent variable sequential set transformers
R. Girgis, F. Golemo, F. Codevilla, J. A. D’Souza, M. Weiss, S. E. Kahou, F. Heide, and C. Pal · 2021
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Scene transformer: A unified architecture for predicting multiple agent trajectories
J. Ngiam, B. Caine, V. Vasudevan, Z. Zhang, H.-T. L. Chiang, J. Ling, R. Roelofs, A. Bewley, C. Liu, A. Venugopal, et al · 2021
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