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
JRDB-Traj: A Dataset and Benchmark for Trajectory Forecasting in CrowdsCode1
Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of CamerasCode1
Egocentric Event-Based Vision for Ping Pong Ball Trajectory PredictionCode1
Diverse and Admissible Trajectory Forecasting through Multimodal Context UnderstandingCode1
Diverse and Admissible Trajectory Prediction through Multimodal Context UnderstandingCode1
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation SpaceCode1
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
Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge SystemsCode1
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