A library for refining ADS-B data
Project description
ADS-B Refiner
ADS-B Refiner (adsbrefiner) is a Python package for improving the quality of trajectories reconstructed from ADS-B position reports. While the latter technology has supported a revolution in the availability of aircraft trajectories data for research purposes, it also comes with important limitations. One of them is the quality of the recorded data, resulting from problems like dropouts, missing payloads, and data jumps. This package allows to post-process the reconstructed trajectories, and to apply a set of optimisation algorithms to find the best corrections.
A full description of the philosophy and implementation of the library is available in the paper (To be announced).
Setup
This package can be installed from PyPI using pip:
pip install adsbrefiner
This will automatically install all the necessary dependencies as specified in the
pyproject.toml file.
Getting started
The best way to understand the package is to follow the examples provided in the tutorial section of the project Wiki. The latter also includes additional information about the implemented algorithms.
Full documentation
Full documentation of the package can be found in the project Wiki.
Change log
To be completed See the Version History section of the Wiki for details.
Acknowledgements
This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 851255).
This work was partially supported by the María de Maeztu project CEX2021-001164-M funded by the MICIU/AEI/10.13039/501100011033 and FEDER, EU.
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