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 1120 of 187 papers

TitleStatusHype
A Survey of World Models for Autonomous DrivingCode1
Asymmetrical Bi-RNN for pedestrian trajectory encodingCode1
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent ForecastingCode1
Dynamic Neural Relational InferenceCode1
DAG-Net: Double Attentive Graph Neural Network for Trajectory ForecastingCode1
CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory ForecastingCode1
Collaborative Uncertainty in Multi-Agent Trajectory ForecastingCode1
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal DataCode1
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory ForecastingCode1
Diverse and Admissible Trajectory Forecasting through Multimodal Context UnderstandingCode1
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