Prediction of vehicle steering angles

This is a course project based on Udacity Self-Driving Car second Challenge
"The purpose of the challenge is to take image frames from a camera mounted to the windshield of our car, and predict the appropriate steering angle using convolutional neural networks and deep learning."

Dataset

It is possible to find tha dataset torrents in the original location provided by udacity.

Our Solution - Poster

Usage

All the code is divided in different ipython notebook, it possible to use the code installing the dependencies and running a notebook server. At the beginning of each cell is it possible to change the default values of the parameters. The project has been divided in the following files:

• Models.ipynb: definition of models and train/test functions
• MyDataset.ipynb: dataset generator
• Image_angles.ipynb: generate frames and video with true and predicted angle
• Attention_map.ipynb: generate frames and video of the attention map
• Train.ipynb: Training of then model (and testing)
• RMSELoss.ipynb: custom root mean square error
• Utils.ipynb: utils for drawing on images and saving video files