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 181–187 of 187 papers

TitleStatusHype
Socially-Informed Reconstruction for Pedestrian Trajectory ForecastingCode0
Heterogeneous-Agent Trajectory Forecasting Incorporating Class UncertaintyCode0
PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3DCode0
Navigating Uncertainty: The Role of Short-Term Trajectory Prediction in Autonomous Vehicle SafetyCode0
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANsCode0
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical ConstraintsCode0
Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent CodesCode0
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