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 41–50 of 187 papers

TitleStatusHype
Likelihood-Based Diverse Sampling for Trajectory ForecastingCode1
Exploring Dynamic Context for Multi-path Trajectory PredictionCode1
OpenTraj: Assessing Prediction Complexity in Human Trajectories DatasetsCode1
MATS: An Interpretable Trajectory Forecasting Representation for Planning and ControlCode1
SimAug: Learning Robust Representations from Simulation for Trajectory PredictionCode1
Diverse and Admissible Trajectory Prediction through Multimodal Context UnderstandingCode1
Human Trajectory Forecasting in Crowds: A Deep Learning PerspectiveCode1
Dynamic Neural Relational InferenceCode1
DAG-Net: Double Attentive Graph Neural Network for Trajectory ForecastingCode1
Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of CamerasCode1
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