In this project we implemented a particle filter. The goal is to locate a driving car based on a map which contains landmarks and the feedback from on-board sensors.
Particle filters are very intuitive and easy to implement. The drawback is speed and, I guess, difficulty to use in real situations. In a real life implementation it would be necessary to decide what is a landmark and to be able to tell if the feedback form the sensors corresponds to a landmark in the map or not.
This video shows the performance of the filter within the simulator provided by Udacity:
The code for my project is hosted in github: