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 91–100 of 187 papers

TitleStatusHype
Data-Driven Vehicle Trajectory Forecasting—0
DeTra: A Unified Model for Object Detection and Trajectory Forecasting—0
DIDER: Discovering Interpretable Dynamically Evolving Relations—0
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision—0
Distilling Knowledge for Short-to-Long Term Trajectory Prediction—0
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving—0
Diverse Trajectory Forecasting with Determinantal Point Processes—0
DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting—0
Dual LiDAR-Based Traffic Movement Count Estimation at a Signalized Intersection: Deployment, Data Collection, and Preliminary Analysis—0
DyTTP: Trajectory Prediction with Normalization-Free Transformers—0
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