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 91–100 of 187 papers

TitleStatusHype
Hierarchical Light Transformer Ensembles for Multimodal Trajectory ForecastingCode0
Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving—0
TrackGPT -- A generative pre-trained transformer for cross-domain entity trajectory forecasting—0
Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction—0
Higher-order Relational Reasoning for Pedestrian Trajectory Prediction—0
Cooperative Probabilistic Trajectory Forecasting under Occlusion—0
Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem Shifting—0
Inferring Relational Potentials in Interacting Systems—0
KI-PMF: Knowledge Integrated Plausible Motion Forecasting—0
A Diffusion-Model of Joint Interactive Navigation—0
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