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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 151–160 of 187 papers

TitleStatusHype
Trajectory Forecasting from Detection with Uncertainty-Aware Motion Encoding—0
Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions—0
TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis—0
Uncertainty estimation of pedestrian future trajectory using Bayesian approximation—0
Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction—0
Under the Hood of Transformer Networks for Trajectory Forecasting—0
Who Walks With You Matters: Perceiving Social Interactions with Groups for Pedestrian Trajectory Prediction—0
EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving in the Arab Gulf RegionCode0
Staged Contact-Aware Global Human Motion ForecastingCode0
Multiple Object Forecasting: Predicting Future Object Locations in Diverse EnvironmentsCode0
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