Code, Algorithms and Probabilities

Gaussian Belief Propagation is a variant of Belief Propagation and used for inference on graphical models if the underlying distribution is described as a Gaussian. [Read More]

I want to continue my previous post with a (useful) example to get more a feel how to use Loopy Belief Propagation in practice. The aim is to remove noise from an image - which is only a toy example. [Read More]

This is about how to implement Loopy Belief Propagation in Python and to understand the calculations in detail. [Read More]

This is an introduction on how to compute a driving path for an autonomous vehicle. In this article, I focus only the trajectory creation. Obstacle perception and avoidance shall be out of scope. [Read More]