Udacity recently made its self-driving car simulator source code available on their GitHub which was originally built to teach their Self-Driving Car Engineer Nanodegree students.
Now, anybody can take advantage of the useful tool to train your machine learning models to clone driving behavior.
In this article, I’ll explain:
- What you can do with it
- How to set up the simulator
- Deep Learning driver example
What You Can Do with it?
You can manually drive a car to generate training data, or your machine learning model can autonomously drive for testing.
In the main screen of the simulator, you can choose a scene and a mode.
First, you choose a scene by clicking one of the scene pictures. In the above, the lake side scene (the left) is selected.
Next, you choose a mode: Training Mode or Autonomous Mode. As soon as you click one of the mode buttons, a car appears at the start position.
