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 151–160 of 187 papers

TitleStatusHype
It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory PredictionCode1
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning—0
Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting—0
Transformer Networks for Trajectory ForecastingCode1
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling—0
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models—0
Diverse and Admissible Trajectory Forecasting through Multimodal Context UnderstandingCode1
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory PredictionCode1
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous DataCode1
Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based PlansCode1
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