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 51–60 of 187 papers

TitleStatusHype
A Diffusion-Model of Joint Interactive Navigation—0
Pre-training on Synthetic Driving Data for Trajectory PredictionCode0
Staged Contact-Aware Global Human Motion ForecastingCode0
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction ModelsCode1
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving—0
Likely, Light, and Accurate Context-Free Clusters-based Trajectory Prediction—0
trajdata: A Unified Interface to Multiple Human Trajectory DatasetsCode2
EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory ForecastingCode1
Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory ForecastingCode1
Navigating Uncertainty: The Role of Short-Term Trajectory Prediction in Autonomous Vehicle SafetyCode0
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