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 161–170 of 187 papers

TitleStatusHype
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning—0
Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting—0
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling—0
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models—0
Argoverse: 3D Tracking and Forecasting with Rich MapsCode0
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision—0
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data—0
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting—0
Multiple Object Forecasting: Predicting Future Object Locations in Diverse EnvironmentsCode0
Real Time Trajectory Prediction Using Deep Conditional Generative ModelsCode0
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