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
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving—0
Inferring Relational Potentials in Interacting Systems—0
Interaction Modeling with Multiplex Attention—0
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds—0
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling—0
KI-PMF: Knowledge Integrated Plausible Motion Forecasting—0
Learning Gibbs-regularized GANs with variational discriminator reparameterization—0
Likely, Light, and Accurate Context-Free Clusters-based Trajectory Prediction—0
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey—0
Machine Learning in Orbit Estimation: a Survey—0
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