track_database

A Python package to gather some default Formula Student tracks as well as some utility functions to import/export them in CSV format and to create new custom tracks. These tracks are stored in a compatible format with FSDS to be loadable at runtime.

Installation

You can install this package using pip after either cloning this repo or addding it as a git submodule to your project. If you have clone access to this repo, then you could also do it direclty with:

$ pip3 install git+git://github.com/FormulaStudent/track_database.git

Package description

The package has the following modules:

• tracks.py: defines the Track class (a Plain Old Data Structure, aka PODS, containing the blue, yellow, big orange, small orange, left and right cones positions, the center line points and the track widths) and the available tracks.
• primitives.py: defines some useful functions to create tracks, such as
• line(), circle() and circular_arc().
• utils.py: defines several utility functions (e.g. IO functions to save and load track files).

Track file format description

A track with name track_name is stored in the folder track_database/data as a folder named track_name containing the following files:

• track_name_cones.csv: contains the cones positions in a format compatible with FSDS to be loadable at runtime: cone_type,X,Y,Z,std_X,std_Y,std_Z,right,left. The cone_type is either blue, yellow, big_orange or small_orange. The right and left columns are binary (0 or 1) values indicating if the cone is on the right or left side of the track. std_X, std_Y and std_Z are the standard deviations of the cone position, usually 0.
• track_name_center_line.csv: contains the center line points in the following format: x,y,right_width,left_width.