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 161–170 of 187 papers

TitleStatusHype
The Garden of Forking Paths: Towards Multi-Future Trajectory PredictionCode1
Argoverse: 3D Tracking and Forecasting with Rich MapsCode0
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision—0
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data—0
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting—0
Multiple Object Forecasting: Predicting Future Object Locations in Diverse EnvironmentsCode0
Shape and Time Distortion Loss for Training Deep Time Series Forecasting ModelsCode1
Real Time Trajectory Prediction Using Deep Conditional Generative ModelsCode0
Diverse Trajectory Forecasting with Determinantal Point Processes—0
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks—0
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