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 71–80 of 187 papers

TitleStatusHype
Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attentionCode0
Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal FusionCode0
ECAM: A Contrastive Learning Approach to Avoid Environmental Collision in Trajectory ForecastingCode0
Forecasting Pedestrian Trajectory with Machine-Annotated Training DataCode0
Probabilistic Symmetry for Multi-Agent DynamicsCode0
Argoverse: 3D Tracking and Forecasting with Rich MapsCode0
PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3DCode0
Pre-training on Synthetic Driving Data for Trajectory PredictionCode0
Multiple Object Forecasting: Predicting Future Object Locations in Diverse EnvironmentsCode0
Navigating Uncertainty: The Role of Short-Term Trajectory Prediction in Autonomous Vehicle SafetyCode0
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