A Break from Kalman Filters

At this point, you've implemented a one dimensional Kalman Filter and you probably have some idea of how a multi-dimensional Kalman Filter might work.

But in order to actually make (or even use) a Kalman Filter in a 2D or 3D world (or "state space" in the language of robotics) we will first need to learn more about how we can keep track of robot motion and what exactly we mean when we use this word "state".

Motion Models and State

The next lesson will be a concise introduction to representing the position and motion of an object (an object's state) using a mathematical representation of motion: a motion model.

After we go over motion for a self-driving car, we will come back to the multidimensional Kalman Filter!