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 141–150 of 187 papers

TitleStatusHype
Towards Robust Human Trajectory Prediction in Raw Videos—0
Rethinking Trajectory Forecasting Evaluation—0
Multimodal trajectory forecasting based on discrete heat map—0
Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories—0
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds—0
Heterogeneous-Agent Trajectory Forecasting Incorporating Class UncertaintyCode0
Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting—0
Motion Forecasting with Unlikelihood Training—0
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents—0
PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3DCode0
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