Particle Filter (Udacity’s Autonomous Car Engineer Nanodegree, term 2, project 3)

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:

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