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 141–150 of 187 papers

TitleStatusHype
SimAug: Learning Robust Representations from Simulation for Trajectory PredictionCode1
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction—0
Human Trajectory Forecasting in Crowds: A Deep Learning PerspectiveCode1
Physically constrained short-term vehicle trajectory forecasting with naive semantic maps—0
Dynamic Neural Relational InferenceCode1
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation—0
Robust Trajectory Forecasting for Multiple Intelligent Agents in Dynamic Scene—0
DAG-Net: Double Attentive Graph Neural Network for Trajectory ForecastingCode1
Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of CamerasCode1
SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen CamerasCode0
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