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 131–140 of 187 papers

TitleStatusHype
Social-DualCVAE: Multimodal Trajectory Forecasting Based on Social Interactions Pattern Aware and Dual Conditional Variational Auto-Encoder—0
Trajectory Forecasting from Detection with Uncertainty-Aware Motion Encoding—0
CVAE-H: Conditionalizing Variational Autoencoders via Hypernetworks and Trajectory Forecasting for Autonomous Driving—0
Intelligent Camera Selection Decisions for Target Tracking in a Camera NetworkCode0
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving—0
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling—0
Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal FusionCode0
Propagating State Uncertainty Through Trajectory ForecastingCode0
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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