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 21–30 of 187 papers

TitleStatusHype
RealTraj: Towards Real-World Pedestrian Trajectory Forecasting—0
DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting—0
TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis—0
TFT-multi: simultaneous forecasting of vital sign trajectories in the ICUCode0
Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks—0
SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision RepresentationCode0
Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics—0
Data-Driven Traffic Simulation for an Intersection in a Metropolis—0
Amelia: A Large Model and Dataset for Airport Surface Movement Forecasting—0
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature AttentionCode2
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