Localization with Acceleration

[ellailan]

What's New

This project includes a Juypter notebook with a method to localize data from 2025 FSGP. We investigate the success of a model that localizes acceleration by calculating radius of curvature and graphing it around the track.

[jonahjlee]

Hi @ellailan, do you have files on your local repository that are not committed to git? For consistency, each project should adhere to the project structure in the template. Namely, the pyproject.toml and uv.lock files should be present to allow people to install the dependencies they need.

I haven't gone over the code yet so I'll do that after lunch.

[jonahjlee]

Thanks Ella! I really appreciate the inline Markdown documentation!

Some notes:

1. Try to avoid 'magic numbers' in your code, i.e., constants whose origin is not obvious to the reader. Instead, assigning them to a descriptive variable name helps a reader understand what they mean.

meters_per_deg_lat = 111132.954 - 559.822 * math.cos(2 * math.radians(center_lat))
meters_per_deg_lon = 111412.84 * math.cos(math.radians(center_lat))

2. One of the plots seems to be missing labels

Looks great otherwise! When you have finalized the notebook, please create a .pdf file and store it in the localization_with_acceleration/results directory.