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 131–140 of 187 papers

TitleStatusHype
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
Motion Forecasting with Unlikelihood Training—0
Robust Trajectory Forecasting for Multiple Intelligent Agents in Dynamic Scene—0
Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks—0
Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting—0
“Seeing is Believing”: Pedestrian Trajectory Forecasting Using Visual Frustum of Attention—0
Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting—0
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction—0
SMEMO: Social Memory for Trajectory Forecasting—0
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