Adding an example comparing Particle filters and kalman filters using track fusion

dstl / Stone-Soup

A software project to provide the target tracking community with a framework for the development and testing of tracking algorithms.

https://stonesoup.rtfd.io

MIT License

384 stars 126 forks source link

Adding an example comparing Particle filters and kalman filters using track fusion #875

Closed A-acuto closed 2 months ago

A-acuto commented 8 months ago

This PR adds an example were we do tracking fusion using partial tracks obtained by different sensors and compares how an Extended Kalman filter results are similar or different to a Particle filter.

This PR also adds a solution to use Tracks2GaussianDetectionFeeder for Particle States (and not only Gaussian states) as discussed and solved in #854

I will add further examples (or enhance this one) regarding track fusion when other algorithms are presented (Covariance inflation)