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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 121–130 of 187 papers

TitleStatusHype
Heterogeneous-Agent Trajectory Forecasting Incorporating Class UncertaintyCode0
CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory ForecastingCode1
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent ForecastingCode1
Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and SynthesisCode1
Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting—0
Motion Forecasting with Unlikelihood Training—0
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents—0
Social NCE: Contrastive Learning of Socially-aware Motion RepresentationsCode1
PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3DCode0
From Goals, Waypoints & Paths To Long Term Human Trajectory ForecastingCode1
Show:102550
← PrevPage 13 of 19Next →

No leaderboard results yet.