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 176–187 of 187 papers

TitleStatusHype
Forecasting Social Navigation in Crowded Complex Scenes—0
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets—0
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation—0
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving—0
Inferring Relational Potentials in Interacting Systems—0
Flow-FL: Data-Driven Federated Learning for Spatio-Temporal Predictions in Multi-Robot Systems—0
TrackGPT -- A generative pre-trained transformer for cross-domain entity trajectory forecasting—0
Interaction Modeling with Multiplex Attention—0
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds—0
First-Person Activity Forecasting with Online Inverse Reinforcement Learning—0
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling—0
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling—0
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