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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 121–130 of 187 papers

TitleStatusHype
Interaction Modeling with Multiplex Attention—0
DIDER: Discovering Interpretable Dynamically Evolving Relations—0
Multi-modal Transformer Path Prediction for Autonomous Vehicle—0
Aware of the History: Trajectory Forecasting with the Local Behavior Data—0
Machine Learning in Orbit Estimation: a Survey—0
Probabilistic Symmetry for Multi-Agent DynamicsCode0
Uncertainty estimation of pedestrian future trajectory using Bayesian approximation—0
SMEMO: Social Memory for Trajectory Forecasting—0
Under the Hood of Transformer Networks for Trajectory Forecasting—0
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting—0
Show:102550
← PrevPage 13 of 19Next →

No leaderboard results yet.