Monte Carlo Filter using python
When we talk about robotics and Autonomous Vehicles, one important problem arises, which is the localization problem. Let's take the self driving car as an example, The car needs to know its position in the world it operates in, this is very important, especially when it comes to navigation and path finding. A number of algorithms exist to solve this problem, one of them is Monte Carlo Localizer or Monte Carlo Filter. Monte Carlo Filter uses statistics with the help of sensing and moving operations to find the location that have the maximum probability that the robot is at.
Monte Carlo Filter is used in many real world examples where the world is represented as 2D Matrix,
To simplify the algorithm, I implemented it in a 1D world using python, You can find the code at GitHub following this link. I also recorded the implementation process and uploaded it to YouTube.