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 101–110 of 187 papers

TitleStatusHype
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving—0
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling—0
Hierarchical Motion Encoder-Decoder Network for Trajectory ForecastingCode1
Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal FusionCode0
Roto-translated Local Coordinate Frames For Interacting Dynamical SystemsCode1
Collaborative Uncertainty in Multi-Agent Trajectory ForecastingCode1
Propagating State Uncertainty Through Trajectory ForecastingCode0
Injecting Planning-Awareness into Prediction and Detection EvaluationCode1
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction—0
Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting—0
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