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 101–110 of 187 papers

TitleStatusHype
Pre-training on Synthetic Driving Data for Trajectory PredictionCode0
Staged Contact-Aware Global Human Motion ForecastingCode0
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving—0
Likely, Light, and Accurate Context-Free Clusters-based Trajectory Prediction—0
Navigating Uncertainty: The Role of Short-Term Trajectory Prediction in Autonomous Vehicle SafetyCode0
Human Trajectory Forecasting with Explainable Behavioral Uncertainty—0
Enhancing Mapless Trajectory Prediction through Knowledge Distillation—0
Collision Avoidance Detour for Multi-Agent Trajectory Forecasting—0
CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments—0
Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attentionCode0
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