Self-Driving-Car-Simulator

This code utilises the data collected using car simulator to train a CNN model to learn to auto drive a car on the track

Dependencies

You can install all dependencies by running one of the following commands

You need a anaconda or miniconda to use the environment setting.

conda env create -f environments.yml

Usage

Train the model

Visit This Kaggle Notebook and modify the code accordingly

Test the model

Run the car simulator in autonomous mode
Test one of the models by running the the script:

python drive.py <path to model_file>

#Example
python drive.py models/model_50000

File structure of the project

.
├── car-simulator.ipynb
├── car_simulator.py
├── Data
│   └── driving_log.csv
├── drive.py
├── environments.yml
├── models
│   ├── model_0
|   .
|   .
│   └── model_195000
└── README.md

Credits

Credits to the paper 'End to End Learning for Self-Driving Cars' from Bojarski et al.