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Trajectory prediction is a crucial task in modeling human behavior, especially in fields as social robotics and autonomous vehicle navigation.
Social force model for pedestrian dynamics
D. Helbing and P. Molnar · 1995
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Modeling the dynamics of human behavior in complex systems
D. Helbing, I. Farkas, and T. Vicsek · 1997
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Pattern recognition and machine learning , volume 4
C. M. Bishop and N. M. Nasrabadi · 2006
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Sensor fusion for predicting vehicles’ path for collision avoidance systems
A. Polychronopoulos, M. Tsogas, A. J. Amditis, and L. Andreone · 2007
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Crowds by example
A. Lerner, Y. Chrysanthou, and D. Lischinski · 2007
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Reciprocal velocity obstacles for real-time multi-agent navigation
J. van den Berg, M. Lin, and D. Manocha · 2008
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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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People tracking with human motion predictions from social forces
M. Luber, J. A. Stork, G. D. Tipaldi, and K. O. Arras · 2010
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Social force model with explicit collision prediction
F. Zanlungo, T. Ikeda, and T. Kanda · 2011
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Who are you with and where are you going?
K. Yamaguchi, A. C. Berg, L. E. Ortiz, and T. L. Berg · 2011
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A constant speed changing rate and constant turn rate model for maneuvering target tracking
G. Zhai, H. Meng, and X. Wang · 2014
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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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Learning social etiquette: Human trajectory understanding in crowded scenes
A. Robicquet, A. Sadeghian, A. Alahi, and S. Savarese · 2016
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Working together: A review on safe human-robot collaboration in industrial environments
S. Robla-Gómez, V. M. Becerra, J. R. Llata, E. González-Sarabia, C. Torre-Ferrero, and J. Pérez-Oria · 2017
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Walking ahead: The headed social force model
F. Farina, D. Fontanelli, A. Garulli, A. Giannitrapani, and D. Prattichizzo · 2017
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Social force models for pedestrian traffic–state of the art
X. Chen, M. Treiber, V. Kanagaraj, and H. Li · 2018
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Efficient reciprocal collision avoidance between heterogeneous agents using ctmat
Y. Ma, D. Manocha, and W. Wang · 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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Runtime analysis of probabilistic crowding and restricted tournament selection for bimodal optimisation
E. C. Osuna and D. Sudholt · 2018
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Stgat: Modeling spatial-temporal interactions for human trajectory prediction
Y. Huang, H. Bi, Z. Li, T. Mao, and Z. Wang · 2019
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Opentraj: Assessing prediction complexity in human trajectories datasets
J. Amirian, B. Zhang, F. V. Castro, J. J. Baldelomar, J.-B. Hayet, and J. Pettré · 2020
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Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data
T. Salzmann, B. Ivanovic, P. Chakravarty, and M. Pavone · 2020
Cited alongside, same era.
Human motion trajectory prediction: A survey
A. Rudenko, L. Palmieri, M. Herman, K. M. Kitani, D. M. Gavrila, and K. O. Arras · 2020
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What the constant velocity model can teach us about pedestrian motion prediction
C. Schöller, V. Aravantinos, F. Lay, and A. Knoll · 2020
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Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction
A. Mohamed, K. Qian, M. Elhoseiny, and C. Claudel · 2020
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Semantics-stgcnn: A semantics-guided spatial-temporal graph convolutional network for multi-class trajectory prediction
B. A. Rainbow, Q. Men, and H. P. Shum · 2021
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Automatic prompt optimization with” gradient descent” and beam search
R. Pryzant, D. Iter, J. Li, Y. T. Lee, C. Zhu, and M. Zeng · 2023
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Escirl: Evolving self-contrastive irl for trajectory prediction in autonomous driving
S. Wang, Z. Chen, Z. Zhao, C. Mao, Y. Zhou, J. He, and A. S. Hu · 2024
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The adoption of social robots in service operations: a comprehensive review
L. P. Vishwakarma, R. K. Singh, R. Mishra, D. Demirkol, and T. Daim · 2024
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Not all errors are made equal: A regret metric for detecting system-level trajectory prediction failures
K. Nakamura, R. Tian, and A. Bajcsy · 2024
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Can language beat numerical regression? language-based multimodal trajectory prediction
I. Bae, J. Lee, and H.-G. Jeon · 2024
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Mg-gan: A multi-generator model preventing out-of-distribution samples in pedestrian trajectory prediction
P. Dendorfer, S. Elflein, and L. Leal-Taixé · 2021
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Comparative evaluation of kalman filters and motion models in vehicular state estimation and path prediction
T. Lu, Y. Watanabe, S. Yamada, and H. Takada · 2021
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Human-like motion planning of autonomous vehicle based on probabilistic trajectory prediction
P. Li, X. Pei, Z. Chen, X. Zhou, and J. Xu · 2022
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A survey on the design and evolution of social robots—past, present and future
H. Mahdi, S. A. Akgun, S. Saleh, and K. Dautenhahn · 2022
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Evolvehypergraph: Group-aware dynamic relational reasoning for trajectory prediction
J. Li, C. Hua, J. Park, H. Ma, V. Dax, and M. J. Kochenderfer · 2022
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Stochastic trajectory prediction via motion indeterminacy diffusion
T. Gu, G. Chen, J. Li, C. Lin, Y. Rao, J. Zhou, and J. Lu · 2022
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Review of pedestrian trajectory prediction methods: Comparing deep learning and knowledge-based approaches
R. Korbmacher and A. Tordeux · 2022
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Y. Yang, P. Zhu, M. Qi, and H. Ma · 2024
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Traj-explainer: An explainable and robust multi-modal trajectory prediction approach
P. Liu, H. Liu, Y. Li, T. Shi, M. Zhu, and Z. Pu · 2024
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Pwto: A heuristic approach for trajectory optimization in complex terrains
Y. Cai and Z. Ren · 2024
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Reevo: Large language models as hyper-heuristics with reflective evolution
H. Ye, J. Wang, Z. Cao, F. Berto, C. Hua, H. Kim, J. Park, and G. Song · 2024
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Uber: Uncertainty-based evolution with large language models for automatic heuristic design
Z. Chen, Z. Zhou, Y. Lu, R. Xu, L. Pan, and Z. Lan · 2024
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Evolution of heuristics: Towards efficient automatic algorithm design using large language model
F. Liu, X. Tong, M. Yuan, X. Lin, F. Luo, Z. Wang, Z. Lu, and Q. Zhang · 2024
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Evolutionary computation in the era of large language model: Survey and roadmap
X. Wu, S.-h. Wu, J. Wu, L. Feng, and K. C. Tan · 2024
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Understanding the importance of evolutionary search in automated heuristic design with large language models
R. Zhang, F. Liu, X. Lin, Z. Wang, Z. Lu, and Q. Zhang · 2024
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Mathematical discoveries from program search with large language models
B. Romera-Paredes, M. Barekatain, A. Novikov, M. Balog, M. P. Kumar, E. Dupont, F. J. Ruiz, J. S. Ellenberg, P. Wang, O. Fawzi, et al · 2024
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Trajectory prediction for autonomous driving: Progress, limitations, and future directions
N. A. Madjid, A. Ahmad, M. Mebrahtu, Y. Babaa, A. Nasser, S. Malik, B. Hassan, N. Werghi, J. Dias, and M. Khonji · 2025
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A survey of deep learning-based pedestrian trajectory prediction: Challenges and solutions
J. Jiang, K. Yan, X. Xia, and B. Yang · 2025
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Hsevo: Elevating automatic heuristic design with diversity-driven harmony search and genetic algorithm using llms
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