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 81–90 of 187 papers

TitleStatusHype
Data-Driven Traffic Simulation for an Intersection in a Metropolis—0
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction—0
MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation—0
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation—0
Scene Induced Multi-Modal Trajectory Forecasting via Planning—0
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling—0
Collision Avoidance Detour for Multi-Agent Trajectory Forecasting—0
ASTRA: A Scene-aware TRAnsformer-based model for trajectory prediction—0
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey—0
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds—0
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