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 161–170 of 187 papers

TitleStatusHype
CAR-Net: Clairvoyant Attentive Recurrent Network—0
Targeted Adversarial Attacks against Neural Network Trajectory Predictors—0
Under the Hood of Transformer Networks for Trajectory Forecasting—0
Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem Shifting—0
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents—0
The Invisible EgoHand: 3D Hand Forecasting through EgoBody Pose Estimation—0
Bidirectional Progressive Transformer for Interaction Intention Anticipation—0
Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting—0
Towards Robust Human Trajectory Prediction in Raw Videos—0
Generative AI for Autonomous Driving: A Review—0
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