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While a lot of work has been carried on developing trajectory prediction methods, and various datasets have been proposed for benchmarking this task, little study has been done so far on the generalizability and the transferability of these methods across dataset.
Social lstm: Human trajectory prediction in crowded spaces
A. Alahi, K. Goel, V. Ramanathan, A. Robicquet, L. Fei-Fei, and S. Savarese · 2016
Earlier work this paper cites.
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
Earlier work this paper cites.
Probabilistic vehicle trajectory prediction over occupancy grid map via recurrent neural network
B. Kim, C. M. Kang, J. Kim, S. H. Lee, C. C. Chung, and J. W. Choi · 2017
Earlier work this paper cites.
Geometric loss functions for camera pose regression with deep learning
A. Kendall and R. Cipolla · 2017
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Convolutional social pooling for vehicle trajectory prediction
N. Deo and M. M. Trivedi · 2018
Earlier work this paper cites.
R2p2: A reparameterized pushforward policy for diverse, precise generative path forecasting
N. Rhinehart, K. M. Kitani, and P. Vernaza · 2018
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Sequence-to-sequence prediction of vehicle trajectory via lstm encoder-decoder architecture
S. H. Park, B. Kim, C. M. Kang, C. C. Chung, and J. W. Choi · 2018
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W. Zhan, L. Sun, D. Wang, H. Shi, A. Clausse, M. Naumann, J. Kummerle, H. Konigshof, C. Stiller, A. de La Fortelle, et al · 2019
Earlier work this paper cites.
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
Earlier work this paper cites.
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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Multiple futures prediction
Y. C. Tang and R. Salakhutdinov · 2019
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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, H. Rezatofighi, and S. Savarese · 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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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
Earlier work this paper cites.
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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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
Earlier work this paper cites.
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
Earlier work this paper cites.
Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data
T. Salzmann, B. Ivanovic, P. Chakravarty, and M. Pavone · 2020
Earlier work this paper cites.
Implicit latent variable model for scene-consistent motion forecasting
S. Casas, C. Gulino, S. Suo, K. Luo, R. Liao, and R. Urtasun · 2020
Cited alongside, same era.
Covernet: Multimodal behavior prediction using trajectory sets
T. Phan-Minh, E. C. Grigore, F. A. Boulton, O. Beijbom, and E. M. Wolff · 2020
Cited alongside, same era.
Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction
Y. Chai, B. Sapp, M. Bansal, and D. Anguelov · 2020
Cited alongside, same era.
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 · 2020
Cited alongside, same era.
Map-adaptive goal-based trajectory prediction
L. Zhang, P.-H. Su, J. Hoang, G. C. Haynes, and M. Marchetti-Bowick · 2020
Cited alongside, same era.
Agentformer: Agent-aware transformers for socio-temporal multi-agent forecasting
Y. Yuan, X. Weng, Y. Ou, and K. Kitani · 2021
Later among the works it cites.
Scene transformer: A unified multi-task model for behavior prediction and planning
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
Later among the works it cites.
Densetnt: End-to-end trajectory prediction from dense goal sets
J. Gu, C. Sun, and H. Zhao · 2021
Later among the works it cites.
Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction
B. Varadarajan, A. Hefny, A. Srivastava, K. S. Refaat, N. Nayakanti, A. Cornman, K. Chen, B. Douillard, C. P. Lam, D. Anguelov, et al · 2021
Later among the works it cites.
Mtp: Multi-hypothesis tracking and prediction for reduced error propagation
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T. Kurbiel, A. Sachdeva, K. Zhao, and M. Buehren · 2020
Cited alongside, same era.
Scene compliant trajectory forecast with agent-centric spatio-temporal grids
D. Ridel, N. Deo, D. Wolf, and M. Trivedi · 2020
Cited alongside, same era.
From goals, waypoints & paths to long term human trajectory forecasting
K. Mangalam, Y. An, H. Girase, and J. Malik · 2020
Cited alongside, same era.
Learning an uncertainty-aware object detector for autonomous driving
G. P. Meyer and N. Thakurdesai · 2020
Cited alongside, same era.
A survey on deep-learning approaches for vehicle trajectory prediction in autonomous driving
J. Liu, X. Mao, Y. Fang, D. Zhu, and M. Q.-H. Meng · 2021
Cited alongside, same era.
Nnakf: A neural network adapted kalman filter for target tracking
S. Jouaber, S. Bonnabel, S. Velasco-Forero, and M. Pilte · 2021
Cited alongside, same era.
Motion forecasting of the objects in road scenes
J. Mercat · 2021
Cited alongside, same era.
X. Weng, B. Ivanovic, and M. Pavone · 2021
Later among the works it cites.
Mp3: A unified model to map, perceive, predict and plan
S. Casas, A. Sadat, and R. Urtasun · 2021
Later among the works it cites.
A review on intention-aware and interaction-aware trajectory prediction for autonomous vehicles
I. Gomes and D. Wolf · 2022
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Scenario understanding and motion prediction for autonomous vehicles-review and comparison
P. Karle, M. Geisslinger, J. Betz, and M. Lienkamp · 2022
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Latent variable sequential set transformers for joint multi-agent motion prediction
R. Girgis, F. Golemo, F. Codevilla, M. Weiss, J. A. D’Souza, S. E. Kahou, F. Heide, and C. Pal · 2022
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Context-aware scene prediction network (caspnet)
M. Schäfer, K. Zhao, M. Bühren, and A. Kummert · 2022
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Occupancy flow fields for motion forecasting in autonomous driving
R. Mahjourian, J. Kim, Y. Chai, M. Tan, B. Sapp, and D. Anguelov · 2022
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Propagating state uncertainty through trajectory forecasting
B. Ivanovic, Y. Lin, S. Shrivastava, P. Chakravarty, and M. Pavone · 2022
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Control-aware prediction objectives for autonomous driving
R. McAllister, B. Wulfe, J. Mercat, L. Ellis, S. Levine, and A. Gaidon · 2022
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Vehicle trajectory prediction works, but not everywhere
M. Bahari, S. Saadatnejad, A. Rahimi, M. Shaverdikondori, A. H. Shahidzadeh, S.-M. Moosavi-Dezfooli, and A. Alahi · 2022
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Assessing cross-dataset generalization of pedestrian crossing predictors
J. Gesnouin, S. Pechberti, B. Stanciulescu, and F. Moutarde · 2022
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Pedestrian detection: Domain generalization, cnns, transformers and beyond
I. Hasan, S. Liao, J. Li, S. U. Akram, and L. Shao · 2022
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Thomas: Trajectory heatmap output with learned multi-agent sampling
T. Gilles, S. Sabatini, D. Tsishkou, B. Stanciulescu, and F. Moutarde · 2022
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Coordinet: uncertainty-aware pose regressor for reliable vehicle localization
A. Moreau, N. Piasco, D. Tsishkou, B. Stanciulescu, and A. de La Fortelle · 2022
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