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 121–130 of 187 papers

TitleStatusHype
Scene Induced Multi-Modal Trajectory Forecasting via Planning—0
Diverse Trajectory Forecasting with Determinantal Point Processes—0
Amelia: A Large Model and Dataset for Airport Surface Movement Forecasting—0
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving—0
Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions—0
Quantile Surfaces -- Generalizing Quantile Regression to Multivariate Targets—0
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting—0
Distilling Knowledge for Short-to-Long Term Trajectory Prediction—0
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models—0
RealTraj: Towards Real-World Pedestrian Trajectory Forecasting—0
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