This project is part of Udacity's Self-driving Car Engineer Nanodegree program. The goal of this project is to clone driving behavior using convolutional neural networks (CNNs).
This project has the following requirements:
- Use a simulator to collect data of good driving behavior
- Design, train and validate a model that predicts a steering angle from image data
- Use the model to drive the vehicle autonomously around the first track in the simulator. The vehicle should remain on the road for an entire loop around the track.
- Summarize the results with a written report
The written report is in the file writeup.md.
The video (uploaded to YouTube) was created from the center camera perspective:
This animated GIF shows an extract of the car driving autonomously around the track. Videos of the car completing a full lap are below.
This video (hosted on YouTube) is sped up 30x and shows the car driving autonomously for a full lap around the track:
This is the same video (hosted on YouTube) at normal speed:
