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 61–70 of 187 papers

TitleStatusHype
Dual LiDAR-Based Traffic Movement Count Estimation at a Signalized Intersection: Deployment, Data Collection, and Preliminary Analysis—0
ECAM: A Contrastive Learning Approach to Avoid Environmental Collision in Trajectory ForecastingCode0
Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics—0
FRED: The Florence RGB-Event Drone Dataset—0
Generative AI for Autonomous Driving: A Review—0
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting—0
SocialMOIF: Multi-Order Intention Fusion for Pedestrian Trajectory Prediction—0
The Invisible EgoHand: 3D Hand Forecasting through EgoBody Pose Estimation—0
DyTTP: Trajectory Prediction with Normalization-Free Transformers—0
MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation—0
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