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

Showing 110 of 187 papers

TitleStatusHype
HPNet: Dynamic Trajectory Forecasting with Historical Prediction AttentionCode3
Producing and Leveraging Online Map Uncertainty in Trajectory PredictionCode3
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature AttentionCode2
trajdata: A Unified Interface to Multiple Human Trajectory DatasetsCode2
DAG-Net: Double Attentive Graph Neural Network for Trajectory ForecastingCode1
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent ForecastingCode1
CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory ForecastingCode1
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal DataCode1
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory ForecastingCode1
A Survey of World Models for Autonomous DrivingCode1
Show:102550
← PrevPage 1 of 19Next →

No leaderboard results yet.