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 101–110 of 187 papers

TitleStatusHype
End-to-End 3D Multi-Object Tracking and Trajectory Forecasting—0
Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics—0
Enhancing Mapless Trajectory Prediction through Knowledge Distillation—0
Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM)—0
Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics—0
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning—0
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling—0
First-Person Activity Forecasting with Online Inverse Reinforcement Learning—0
Flow-FL: Data-Driven Federated Learning for Spatio-Temporal Predictions in Multi-Robot Systems—0
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets—0
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