# Simulating a Drone’s Self Localization with A Particle Filter

A Particle filter is a localization algorithm based on sampling random points and calculating the probability that your points represent the true location of the object being tracked. In this implementation, I created a simulation environment using python which contains the following functionality:

- Read and Draw an image from a file
- Calculate a Grid based on the image
- Pick a random location to simulate a drone flying over the image