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Predicting the future trajectories of on-road vehicles is critical for autonomous driving.
Social force model for pedestrian dynamics
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Motion planning in urban environments
D. Ferguson, T. M. Howard, and M. Likhachev · 2008
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Differentially constrained mobile robot motion planning in state lattices
M. Pivtoraiko, R. A. Knepper, and A. Kelly · 2009
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Planning-based prediction for pedestrians
B. D. Ziebart, N. Ratliff, G. Gallagher, C. Mertz, K. Peterson, J. A. Bagnell, M. Hebert, A. K. Dey, and S. Srinivasa · 2009
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Unfreezing the robot: Navigation in dense, interacting crowds
P. Trautman and A. Krause · 2010
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A prediction-and cost function-based algorithm for robust autonomous freeway driving
J. Wei, J. M. Dolan, and B. Litkouhi · 2010
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Optimal trajectory generation for dynamic street scenarios in a frenet frame
M. Werling, J. Ziegler, S. Kammel, and S. Thrun · 2010
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Motion planning for autonomous driving with a conformal spatiotemporal lattice
M. McNaughton, C. Urmson, J. M. Dolan, and J.-W. Lee · 2011
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Vehicle dynamics and control
R. Rajamani · 2011
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Vehicle trajectory prediction based on motion model and maneuver recognition
A. Houenou, P. Bonnifait, V. Cherfaoui, and W. Yao · 2013
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Making bertha drive—an autonomous journey on a historic route
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A survey on motion prediction and risk assessment for intelligent vehicles
S. Lefèvre, D. Vasquez, and C. Laugier · 2014
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Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions
C. Katrakazas, M. Quddus, W.-H. Chen, and L. Deka · 2015
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Multipolicy decision-making for autonomous driving via changepoint-based behavior prediction
E. Galceran, A. G. Cunningham, R. M. Eustice, and E. Olson · 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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A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin · 2017
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Chauffeurnet: Learning to drive by imitating the best and synthesizing the worst
M. Bansal, A. Krizhevsky, and A. Ogale · 2018
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Planning and decision-making for autonomous vehicles
W. Schwarting, J. Alonso-Mora, and D. Rus · 2018
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Pedestrian prediction by planning using deep neural networks
E. Rehder, F. Wirth, M. Lauer, and C. Stiller · 2018
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R2p2: A reparameterized pushforward policy for diverse, precise generative path forecasting
N. Rhinehart, K. M. Kitani, and P. Vernaza · 2018
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Multi-agent tensor fusion for contextual trajectory prediction
T. Zhao, Y. Xu, M. Monfort, W. Choi, C. Baker, Y. Zhao, Y. Wang, and Y. N. Wu · 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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nuscenes: A multimodal dataset for autonomous driving
H. Caesar, V. Bankiti, A. H. Lang, S. Vora, V. E. Liong, Q. Xu, A. Krishnan, Y. Pan, G. Baldan, and O. Beijbom · 2020
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Multi-head attention for multi-modal joint vehicle motion forecasting
J. Mercat, T. Gilles, N. El Zoghby, G. Sandou, D. Beauvois, and G. P. Gil · 2020
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It is not the journey but the destination: Endpoint conditioned trajectory prediction
K. Mangalam, H. Girase, S. Agarwal, K.-H. Lee, E. Adeli, J. Malik, and A. Gaidon · 2020
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A. Gupta, J. Johnson, L. Fei-Fei, S. Savarese, and A. Alahi · 2018
Cited alongside, same era.
Convolutional social pooling for vehicle trajectory prediction
N. Deo and M. M. Trivedi · 2018
Cited alongside, same era.
Intentnet: Learning to predict intention from raw sensor data
S. Casas, W. Luo, and R. Urtasun · 2018
Cited alongside, same era.
Social behavior for autonomous vehicles
W. Schwarting, A. Pierson, J. Alonso-Mora, S. Karaman, and D. Rus · 2019
Cited alongside, same era.
Argoverse: 3d tracking and forecasting with rich maps
M.-F. Chang, J. Lambert, P. Sangkloy, J. Singh, S. Bak, A. Hartnett, D. Wang, P. Carr, S. Lucey, D. Ramanan, et al · 2019
Cited alongside, same era.
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
Cited alongside, same era.
Precog: Prediction conditioned on goals in visual multi-agent settings
N. Rhinehart, R. McAllister, K. Kitani, and S. Levine · 2019
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H. Zhao, J. Gao, T. Lan, C. Sun, B. Sapp, B. Varadarajan, Y. Shen, Y. Shen, Y. Chai, C. Schmid, et al · 2020
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Pip: Planning-informed trajectory prediction for autonomous driving
H. Song, W. Ding, Y. Chen, S. Shen, M. Y. Wang, and Q. Chen · 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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Deep kinematic models for kinematically feasible vehicle trajectory predictions
H. Cui, T. Nguyen, F.-C. Chou, T.-H. Lin, J. Schneider, D. Bradley, and N. Djuric · 2020
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Uncertainty-aware short-term motion prediction of traffic actors for autonomous driving
N. Djuric, V. Radosavljevic, H. Cui, T. Nguyen, F.-C. Chou, T.-H. Lin, N. Singh, and J. Schneider · 2020
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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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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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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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Implicit latent variable model for scene-consistent motion forecasting
S. Casas, C. Gulino, S. Suo, K. Luo, R. Liao, and R. Urtasun · 2020
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Vehicle trajectory prediction using generative adversarial network with temporal logic syntax tree features
X. Li, G. Rosman, I. Gilitschenski, C.-I. Vasile, J. A. DeCastro, S. Karaman, and D. Rus · 2021
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