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 111–120 of 187 papers

TitleStatusHype
MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses—0
Trajectory Forecasting from Detection with Uncertainty-Aware Motion Encoding—0
DyTTP: Trajectory Prediction with Normalization-Free Transformers—0
Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty—0
Dual LiDAR-Based Traffic Movement Count Estimation at a Signalized Intersection: Deployment, Data Collection, and Preliminary Analysis—0
ASTRA: A Scene-aware TRAnsformer-based model for trajectory prediction—0
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving—0
Physically constrained short-term vehicle trajectory forecasting with naive semantic maps—0
DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting—0
Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories—0
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