Stone Soup
v1.2
Framework Design
Stone Soup Framework
Tutorials
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
Data association
Filters
Sampling
Sensor Management
Data association
\(k\)
-d trees and TPR trees
Filters
Sampling
Sensor Management
Examples
Demonstrations
Contributing
Copyright & License
Stone Soup
Tutorials
Data association
Edit on GitHub
Data association
Here are some tutorials which cover additional data association techniques.
k-d trees and TPR trees
k-d trees and TPR trees