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 31–40 of 187 papers

TitleStatusHype
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical ImagesCode1
DeTra: A Unified Model for Object Detection and Trajectory Forecasting—0
Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent CodesCode0
Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM)—0
Bidirectional Progressive Transformer for Interaction Intention Anticipation—0
KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized IntersectionsCode1
HPNet: Dynamic Trajectory Forecasting with Historical Prediction AttentionCode3
Hierarchical Light Transformer Ensembles for Multimodal Trajectory ForecastingCode0
Producing and Leveraging Online Map Uncertainty in Trajectory PredictionCode3
Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving—0
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