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 31–40 of 187 papers

TitleStatusHype
Egocentric Event-Based Vision for Ping Pong Ball Trajectory PredictionCode1
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation SpaceCode1
EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory ForecastingCode1
Diverse and Admissible Trajectory Forecasting through Multimodal Context UnderstandingCode1
Diverse and Admissible Trajectory Prediction through Multimodal Context UnderstandingCode1
From Goals, Waypoints & Paths To Long Term Human Trajectory ForecastingCode1
Likelihood-Based Diverse Sampling for Trajectory ForecastingCode1
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal DataCode1
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory ForecastingCode1
JRDB-Traj: A Dataset and Benchmark for Trajectory Forecasting in CrowdsCode1
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