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 101–125 of 187 papers

TitleStatusHype
End-to-End 3D Multi-Object Tracking and Trajectory Forecasting—0
Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics—0
Enhancing Mapless Trajectory Prediction through Knowledge Distillation—0
Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM)—0
Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics—0
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning—0
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling—0
First-Person Activity Forecasting with Online Inverse Reinforcement Learning—0
Flow-FL: Data-Driven Federated Learning for Spatio-Temporal Predictions in Multi-Robot Systems—0
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets—0
Forecasting Social Navigation in Crowded Complex Scenes—0
FRED: The Florence RGB-Event Drone Dataset—0
Generating synthetic multi-dimensional molecular-mediator time series data for artificial intelligence-based disease trajectory forecasting and drug development digital twins: Considerations—0
Generative AI for Autonomous Driving: A Review—0
Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting—0
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents—0
Higher-order Relational Reasoning for Pedestrian Trajectory Prediction—0
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting—0
Human Trajectory Forecasting with Explainable Behavioral Uncertainty—0
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation—0
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving—0
Inferring Relational Potentials in Interacting Systems—0
Interaction Modeling with Multiplex Attention—0
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds—0
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling—0
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