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 171–180 of 187 papers

TitleStatusHype
Probabilistic Symmetry for Multi-Agent DynamicsCode0
SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen CamerasCode0
Pre-training on Synthetic Driving Data for Trajectory PredictionCode0
SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision RepresentationCode0
ECAM: A Contrastive Learning Approach to Avoid Environmental Collision in Trajectory ForecastingCode0
Hierarchical Light Transformer Ensembles for Multimodal Trajectory ForecastingCode0
Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attentionCode0
Heterogeneous Trajectory Forecasting via Risk and Scene Graph LearningCode0
Diverse Probabilistic Trajectory Forecasting with Admissibility ConstraintsCode0
Forecasting Pedestrian Trajectory with Machine-Annotated Training DataCode0
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