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

Showing 5160 of 187 papers

TitleStatusHype
SimAug: Learning Robust Representations from Simulation for Trajectory PredictionCode1
Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of CamerasCode1
DAG-Net: Double Attentive Graph Neural Network for Trajectory ForecastingCode1
Exploring Dynamic Context for Multi-path Trajectory PredictionCode1
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent ForecastingCode1
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation SpaceCode1
CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory ForecastingCode1
Peeking into the Future: Predicting Future Person Activities and Locations in VideosCode1
The Garden of Forking Paths: Towards Multi-Future Trajectory PredictionCode1
V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and ForecastingCode1
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