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 71–80 of 187 papers

TitleStatusHype
Generating synthetic multi-dimensional molecular-mediator time series data for artificial intelligence-based disease trajectory forecasting and drug development digital twins: Considerations—0
Diverse Probabilistic Trajectory Forecasting with Admissibility ConstraintsCode0
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving—0
Targeted Adversarial Attacks against Neural Network Trajectory Predictors—0
Heterogeneous Trajectory Forecasting via Risk and Scene Graph LearningCode0
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal DataCode1
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation—0
Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge SystemsCode1
Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?Code1
Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting—0
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