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
Back to square one: probabilistic trajectory forecasting without bells and whistles—0
MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation—0
Motion Forecasting with Unlikelihood Training—0
Enhancing Mapless Trajectory Prediction through Knowledge Distillation—0
Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics—0
End-to-End 3D Multi-Object Tracking and Trajectory Forecasting—0
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting—0
Multimodal trajectory forecasting based on discrete heat map—0
Multi-modal Transformer Path Prediction for Autonomous Vehicle—0
Aware of the History: Trajectory Forecasting with the Local Behavior Data—0
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