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 111–120 of 187 papers

TitleStatusHype
Forecasting Social Navigation in Crowded Complex Scenes—0
FRED: The Florence RGB-Event Drone Dataset—0
Generating synthetic multi-dimensional molecular-mediator time series data for artificial intelligence-based disease trajectory forecasting and drug development digital twins: Considerations—0
Generative AI for Autonomous Driving: A Review—0
Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting—0
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents—0
Higher-order Relational Reasoning for Pedestrian Trajectory Prediction—0
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting—0
Human Trajectory Forecasting with Explainable Behavioral Uncertainty—0
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation—0
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