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
TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory PredictionCode1
Joint Learning Architecture for Multiple Object Tracking and Trajectory ForecastingCode1
Multi-Camera Trajectory Forecasting with Trajectory TensorsCode1
Human Trajectory Prediction via Counterfactual AnalysisCode1
Asymmetrical Bi-RNN for pedestrian trajectory encodingCode1
CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory ForecastingCode1
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent ForecastingCode1
Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and SynthesisCode1
Social NCE: Contrastive Learning of Socially-aware Motion RepresentationsCode1
From Goals, Waypoints & Paths To Long Term Human Trajectory ForecastingCode1
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