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 2130 of 187 papers

TitleStatusHype
Egocentric Event-Based Vision for Ping Pong Ball Trajectory PredictionCode1
Diverse and Admissible Trajectory Prediction through Multimodal Context UnderstandingCode1
A Survey of World Models for Autonomous DrivingCode1
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation SpaceCode1
Asymmetrical Bi-RNN for pedestrian trajectory encodingCode1
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
Goal-driven Self-Attentive Recurrent Networks for Trajectory PredictionCode1
EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory ForecastingCode1
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