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 171–180 of 187 papers

TitleStatusHype
Higher-order Relational Reasoning for Pedestrian Trajectory Prediction—0
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting—0
Generating synthetic multi-dimensional molecular-mediator time series data for artificial intelligence-based disease trajectory forecasting and drug development digital twins: Considerations—0
FRED: The Florence RGB-Event Drone Dataset—0
Human Trajectory Forecasting with Explainable Behavioral Uncertainty—0
Forecasting Social Navigation in Crowded Complex Scenes—0
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets—0
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation—0
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving—0
Inferring Relational Potentials in Interacting Systems—0
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