🎓 Final Bachelor Thesis | Iago Senén Fernández García | Aerospace Engineering UC3M
Grade: 10/10, nominated to honours (MH)
This repository is structured as follows:
- Data Adquisition: contains raw flight logs and images obtained from testing aircraft.
- Data Cleaning: contains chopped and pre-processed flight logs for each of the performed flights
- Data Analysis : contains the python notebooks used to extract useful metrics and information from the data
- Manufacturing: contains all the 3D files and laser cutting boards in order to manufacture the aerial platform "RoadRunner" for testing different visual-based navigation solutions.
⚠️ To Be Completed, some missing files. I want to upload them so that they are ready to cut/print.⚠️
- The Original PDF submitted for grading.
In order to start working with this repository start by downloading miniconda here and use the given environment.yaml file to recreate the conda environment. You can later execute the jupyter notebooks to recreate results.
conda env create --file environment.yaml
Followed by the activation of the given environment:
conda activate tfg-gps-denied-navigation
And enabling the new Python kernel based on the installed environment:
python -m ipykernel install --user --name tfg-gps-denied-navigation --display-name "tfg-gps-denied-navigation"
Note: Use the command "python3" for Mac users.