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 51–60 of 187 papers

TitleStatusHype
Asymmetrical Bi-RNN for pedestrian trajectory encodingCode1
Social GAN: Socially Acceptable Trajectories with Generative Adversarial NetworksCode1
DAG-Net: Double Attentive Graph Neural Network for Trajectory ForecastingCode1
Exploring Dynamic Context for Multi-path Trajectory PredictionCode1
JRDB-Traj: A Dataset and Benchmark for Trajectory Forecasting in CrowdsCode1
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation SpaceCode1
CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory ForecastingCode1
Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and SynthesisCode1
Trajectory Forecasting on Temporal GraphsCode1
V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and ForecastingCode1
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