TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution

Reciprocal Velocity Obstacles for real-time multi-agent navigation

van den Berg, J.; Lin, M.; and Manocha, D. 2008 · 1935

Earlier work this paper cites.

Social force model for pedestrian dynamics

Helbing, D.; and Molnar, P. 1995 · 1995

Earlier work this paper cites.

Modeling the dynamics of human behavior in complex systems

Helbing, D.; Farkas, I.; and Vicsek, T. 1997 · 1997

Earlier work this paper cites.

Pattern recognition and machine learning , volume 4

Bishop, C. M.; and Nasrabadi, N. M. 2006 · 2006

Earlier work this paper cites.

Crowds by example

Lerner, A.; Chrysanthou, Y.; and Lischinski, D. 2007 · 2007

Earlier work this paper cites.

Sensor fusion for predicting vehicles’ path for collision avoidance systems

Polychronopoulos, A.; Tsogas, M.; Amditis, A. J.; and Andreone, L. 2007 · 2007

Earlier work this paper cites.

You’ll Never Walk Alone: Modeling Social Behavior for Multi-target Tracking

Pellegrini, S.; Ess, A.; Schindler, K.; and van Gool, L. 2009 · 2009

Earlier work this paper cites.

People tracking with human motion predictions from social forces

Luber, M.; Stork, J. A.; Tipaldi, G. D.; and Arras, K. O. 2010 · 2010

Earlier work this paper cites.

Who are you with and where are you going?

Yamaguchi, K.; Berg, A. C.; Ortiz, L. E.; and Berg, T. L. 2011 · 2011

Earlier work this paper cites.

Social force model with explicit collision prediction

Zanlungo, F.; Ikeda, T.; and Kanda, T. 2011 · 2011

Earlier work this paper cites.

A Constant Speed Changing Rate and Constant Turn Rate Model for Maneuvering Target Tracking

Zhai, G.; Meng, H.; and Wang, X. 2014 · 2014

Earlier work this paper cites.

Social lstm: Human trajectory prediction in crowded spaces

Alahi, A.; Goel, K.; Ramanathan, V.; Robicquet, A.; Fei-Fei, L.; and Savarese, S. 2016 · 2016

Earlier work this paper cites.

Learning Social Etiquette: Human Trajectory Understanding in Crowded Scenes

Robicquet, A.; Sadeghian, A.; Alahi, A.; and Savarese, S. 2016 · 2016

Earlier work this paper cites.

Walking ahead: The headed social force model

Farina, F.; Fontanelli, D.; Garulli, A.; Giannitrapani, A.; and Prattichizzo, D. 2017 · 2017

Earlier work this paper cites.

Working Together: A Review on Safe Human-Robot Collaboration in Industrial Environments

Robla-Gómez, S.; Becerra, V. M.; Llata, J. R.; González-Sarabia, E.; Torre-Ferrero, C.; and Pérez-Oria, J. 2017 · 2017

Earlier work this paper cites.

Social force models for pedestrian traffic–state of the art

Chen, X.; Treiber, M.; Kanagaraj, V.; and Li, H. 2018 · 2018

Earlier work this paper cites.

Social gan: Socially acceptable trajectories with generative adversarial networks

Gupta, A.; Johnson, J.; Fei-Fei, L.; Savarese, S.; and Alahi, A. 2018 · 2018

Earlier work this paper cites.

Efficient Reciprocal Collision Avoidance between Heterogeneous Agents Using CTMAT

Ma, Y.; Manocha, D.; and Wang, W. 2018 · 2018

Earlier work this paper cites.

Runtime analysis of probabilistic crowding and restricted tournament selection for bimodal optimisation

Osuna, E. C.; and Sudholt, D. 2018 · 2018

Earlier work this paper cites.

STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction

Huang, Y.; Bi, H.; Li, Z.; Mao, T.; and Wang, Z. 2019 · 2019

Earlier work this paper cites.

Conditional generative neural system for probabilistic trajectory prediction

Li, J.; Ma, H.; and Tomizuka, M. 2019 · 2019

Earlier work this paper cites.

Opentraj: Assessing prediction complexity in human trajectories datasets

Amirian, J.; Zhang, B.; Castro, F. V.; Baldelomar, J. J.; Hayet, J.-B.; and Pettré, J. 2020 · 2020

Earlier work this paper cites.

Evolvegraph: Multi-agent trajectory prediction with dynamic relational reasoning

Li, J.; Yang, F.; Tomizuka, M.; and Choi, C. 2020 · 2020

Earlier work this paper cites.

Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction

Mohamed, A.; Qian, K.; Elhoseiny, M.; and Claudel, C. 2020 · 2020

Earlier work this paper cites.

Human motion trajectory prediction: A survey

Rudenko, A.; Palmieri, L.; Herman, M.; Kitani, K. M.; Gavrila, D. M.; and Arras, K. O. 2020 · 2020

Earlier work this paper cites.

Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data

Salzmann, T.; Ivanovic, B.; Chakravarty, P.; and Pavone, M. 2020 · 2020

Cited alongside, same era.

What the constant velocity model can teach us about pedestrian motion prediction

Schöller, C.; Aravantinos, V.; Lay, F.; and Knoll, A. 2020 · 2020

Cited alongside, same era.

Spectral temporal graph neural network for trajectory prediction

Cao, D.; Li, J.; Ma, H.; and Tomizuka, M. 2021 · 2021

Cited alongside, same era.

Shared cross-modal trajectory prediction for autonomous driving

Choi, C.; Choi, J. H.; Li, J.; and Malla, S. 2021 · 2021

Cited alongside, same era.

Mg-gan: A multi-generator model preventing out-of-distribution samples in pedestrian trajectory prediction

Dendorfer, P.; Elflein, S.; and Leal-Taixé, L. 2021 · 2021

Cited alongside, same era.

Spatio-temporal graph dual-attention network for multi-agent prediction and tracking

A cognition-inspired trajectory prediction method for vehicles in interactive scenarios

Xie, S.; Li, J.; and Wang, J. 2023 · 2023

Later among the works it cites.

Can language beat numerical regression? language-based multimodal trajectory prediction

Bae, I.; Lee, J.; and Jeon, H.-G. 2024 · 2024

Later among the works it cites.

PWTO: A Heuristic Approach for Trajectory Optimization in Complex Terrains

Original

Cai, Y.; and Ren, Z. 2024 · 2024

Later among the works it cites.

UBER: Uncertainty-Based Evolution with Large Language Models for Automatic Heuristic Design

Original

Chen, Z.; Zhou, Z.; Lu, Y.; Xu, R.; Pan, L.; and Lan, Z. 2024 · 2024

Later among the works it cites.

Self-supervised multi-future occupancy forecasting for autonomous driving

Original

Lange, B.; Itkina, M.; Li, J.; and Kochenderfer, M. J. 2024 · 2024