Tutorials

Here are some tutorials on using Stone Soup that also introduce some topics of state estimation and tracking.

1 - An introduction to Stone Soup: using the Kalman filter

2 - Non-linear models: extended Kalman filter

3 - Non-linear models: unscented Kalman filter

4 - Sampling methods: particle filter

5 - Data association - clutter tutorial

6 - Data association - multi-target tracking tutorial

7 - Probabilistic data association tutorial

8 - Joint probabilistic data association tutorial

9 - Initiators & Deleters

10 - Tracking in simulation: bringing all components together

11 - Gaussian mixture PHD tutorial