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Team Mario Sparkfun AVC

This is my code for the Sparkfun AVC, starting from 2014. My entry consisted of a Tamiya Grasshopper RC car with a Raspberry Pi 2 and a compass/GPS module. The main code is written in Python; I found that the Python was too slow while running on a Raspberry Pi A+, and so had started porting it to Rust, but after the release of the Pi 2, I switched back to Python.

The setup code will set up the Pi to act as a WiFi access point. The code also includes a remote monitor that runs as a web server. Any WiFi client can connect to this server and view live telemetry data using WebSockets, as well as start and stop the vehicle.

Using the code

To get a full installation ready, including setting up the Pi to act as an access point and starting the code on boot, download a copy of Minibian, copy it to an SD card, install Git, clone this repo, and then run setup.sh.

The main Python code is in the control folder. To use it in your own project, you will need to change the Driver class to control your specific vehicle, and the Telemetry class to read data from your sensors. For simplicity, I tried to keep all readings using meters so that I wouldn't need to convert latitude and longitude, so my example class converts latitude and longitude readings to distance from a centrally chosen waypoint.

The monitoring code is in the monitor folder. It uses CherryPy to run as a webserver by default on port 8080. You will need to write a Python class that reads and sends some telemetry to the monitor periodically. My example is in TelemetryDumper.

The file main is used to start all the various parts of the code and link them all together. It's a good example if you want to just use some parts.

There is also an incomplete but still in progress Rust port. The development of that port is in the branch named rust.

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Team Mario's code for the Sparkfun Autonomous Vehicle Competition 2015.

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