SOTAVerified

Trajectory Forecasting

Trajectory forecasting is a sequential prediction task, where a forecasting model predicts future trajectories of all moving agents (humans, vehicles, etc.) in a scene, based on their past trajectories and/or the scene context.

(Illustrative figure from Social NCE: Contrastive Learning of Socially-aware Motion Representations)

Papers

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Showing 131–140 of 187 papers

TitleStatusHype
Likelihood-Based Diverse Sampling for Trajectory ForecastingCode1
Res-GCNN: A Lightweight Residual Graph Convolutional Neural Networks for Human Trajectory Forecasting—0
Exploring Dynamic Context for Multi-path Trajectory PredictionCode1
Flow-FL: Data-Driven Federated Learning for Spatio-Temporal Predictions in Multi-Robot Systems—0
OpenTraj: Assessing Prediction Complexity in Human Trajectories DatasetsCode1
Quantile Surfaces -- Generalizing Quantile Regression to Multivariate Targets—0
MATS: An Interpretable Trajectory Forecasting Representation for Planning and ControlCode1
Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction—0
End-to-End 3D Multi-Object Tracking and Trajectory Forecasting—0
Diverse and Admissible Trajectory Prediction through Multimodal Context UnderstandingCode1
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