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 61–70 of 187 papers

TitleStatusHype
FRED: The Florence RGB-Event Drone Dataset—0
DIDER: Discovering Interpretable Dynamically Evolving Relations—0
Forecasting Social Navigation in Crowded Complex Scenes—0
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets—0
DeTra: A Unified Model for Object Detection and Trajectory Forecasting—0
Back to square one: probabilistic trajectory forecasting without bells and whistles—0
Flow-FL: Data-Driven Federated Learning for Spatio-Temporal Predictions in Multi-Robot Systems—0
First-Person Activity Forecasting with Online Inverse Reinforcement Learning—0
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling—0
Data-Driven Vehicle Trajectory Forecasting—0
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