Trajectory Prediction Models
Social-STGCNN
Introduced by Mohamed et al. in Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory PredictionSocial-STGCNN is a method for human trajectory prediction. Pedestrian trajectories are not only influenced by the pedestrian itself but also by interaction with surrounding objects.
Source: Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Trajectory Prediction | 3 | 37.50% |
| Autonomous Vehicles | 1 | 12.50% |
| Human motion prediction | 1 | 12.50% |
| Motion Forecasting | 1 | 12.50% |
| motion prediction | 1 | 12.50% |
| Trajectory Forecasting | 1 | 12.50% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
