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 171–180 of 187 papers

TitleStatusHype
Diverse Trajectory Forecasting with Determinantal Point Processes—0
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks—0
Scene Induced Multi-Modal Trajectory Forecasting via Planning—0
Forecasting Pedestrian Trajectory with Machine-Annotated Training DataCode0
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANsCode0
Data-Driven Vehicle Trajectory Forecasting—0
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets—0
Back to square one: probabilistic trajectory forecasting without bells and whistles—0
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal GraphsCode0
Learning Gibbs-regularized GANs with variational discriminator reparameterization—0
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