SELF DRIVING CAR PYCON2020 WORKSHOP

Simulation

Step 1: Go and download Udacity self driving simulator

• https://github.com/udacity/self-driving-car-sim

Step 2: Drive and collect all information in training mode and pressing rec and store it in a folder named "track"

Step 2: Open colaboratoy

• https://colab.research.google.com

Step 3: Click on File -> Open Notebook and Choose Github

Step 4: Paste https://github.com/lesthad666/pycontrack/blob/master/Behavioural_Cloning.ipynb in the field and hit ENTER.

Step 5: Execute each cell in the notebook one by one and train the model

Step 6: Download and save the model to the same level as the Drive.py file

Step 8: create the enviroment

• virtualenv sim-env
• source ./sim-env/bin/activate or .\sim-env\Scripts\activate Windows case.
• pip install -r requirements.txt

Step 10: Run the command

• python Drive.py

Step 11: Run the simulator in autonomous mode

Resources

https://images.nvidia.com/content/tegra/automotive/images/2016/solutions/pdf/end-to-end-dl-using-px.pdf

Run Donkeycar Physically

Step 1: guide for donkey

• http://docs.donkeycar.com/guide/install_software/

Step 2: Copy the generated mypilot.h5 file to your Raspberry Pi under the following location. /home/pi/d2/models/mypilot.h5

Execute the following command in your Raspberry Pi.

• cd ~/d2
• python manage.py drive --model ~/d2/models/mypilot