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pycasx 1.0.0
pyCASX – A Python implementation of ACAS XA and ACAS XU for Flightgear
Implementation of ACAS XA and ACAS XU with neural networks for FlightGear.
pyCASX – A Python implementation of ACAS XA and ACAS XU for Flightgear
Description
Installation
Requirements
Users
Installation via pipx
Installation via pip
Development
pre-commit
VS Code
Usage
Launching ACAS X
Other options
onnx or make_onnx
launch
acasx
Overwriting parameters
Citation
Description
Implementation of Horizontal- and VerticalCAS using neural networks for FlightGear.
The HCAS and VCAS implementations are based upon Stanford Intelligent Systems Laboratory's HorizontalCAS and VerticalCAS.
Installation
Please read the following sections carefully.
Please also see the documentation at https://pycasx.readthedocs.io.
Requirements
Python 3.8 or higher (3.12 is currently not supported)
FlightGear 2020.3.18 or higher
Users
If you only want to use pycasx as a command-line tool and not develop it, you can install it via pip or pipx.
However, pipx is recommended, as it will install the package in an isolated environment and thus not interfere with other packages.
Installation via pipx
Ensure you have pipx installed.
If not, install it via
python3 -m pip install --user pipx
python3 -m pipx ensurepath
Afterwards, install pycasx via
pipx install git+https://https://github.com/DLR-KI/pycasx.git
Installation via pip
This is not recommended! Proceed at your own risk! For just using the package, pipx is recommended
First, clone the repository
git clone https://https://github.com/DLR-KI/pycasx.git
Optional: create yourself a virtual environment and activate it.
pip install virtualenv
virtualenv .pycasx-venv
source .pycasx-venv/bin/activate
Now, install the package via
pip install -e .
for basic features.
NOTE: for some virtual environments, especially with Windows, you might need to use python instead of python3 and might also need to use python -m pip instead of pip.
Development
First, clone the repository into a directory of your choice:
git clone https://https://github.com/DLR-KI/pycasx.git
Then, it is recommended to create a virtual environment for the software:
pip install virtualenv
virtualenv .pycasx-venv
source .pycasx-venv/bin/activate
Afterwards, install the software and its dependencies:
pip install -e '.[all]'
Next, install the provided pre-commit hooks:
pre-commit install
pre-commit
Prior to any commit, the hooks defined in .pre-commit-config.yaml will be ran.
A failure in any hook will block the commit.
Although, most of the errors, like formatting, will correct themselves.
You just have to re-add all changed files and commit again.
Be also aware, that the pipeline can take a few seconds to complete.
Alternatively, you can run the pipeline at any time to invoke changes before they block commits with
pre-commit run --all-files
Running the pre-commit pipeline manually once before the first commit is recommended.
It will install all required tools and dependencies and you'll see what's going on.
Otherwise you might be surprised why committing takes so long.
VS Code
For VS Code, we provide a set of recommended extensions.
Please install them to smooth the development process.
You'll find them in your extensions tab under the Workspace Recommendations section.
Usage
This package provides a command-line interface with the pycasx command.
General information is available via pycasx [-h|--help] and the current version via pycasx [-v|--version].
All other commands are explained in the following.
Launching ACAS X
You can launch FlightGear via
pycasx launch
Once FlightGear is up and running, just run:
pycasx acasx
This will start the ACAS X with the default settings.
Other options
onnx or make_onnx
pycasx onnx
Convert the provided .nnet files into .onnx files.
This is required if one wants to use the ONNX or PyTorch backend.
BE WARNED: BOTH THE ONNX AND PYTORCH BACKEND ARE EXPERIMENTAL AND NOT FULLY TESTED. THE RESULTING ADVISORIES ARE NOT VALID!
launch
pycasx launch
Launch FlightGear with options defined in pycasx/cli/launch.py.
acasx
pycasx acasx
Runs the ACAS X with the default settings.
This includes the API backend to fetch the advisories via REST calls.
Please see the official documentation for more information.
Overwriting parameters
Every launch script has a set of default parameters.
Those are handled via Hydra.
Accordingly, overwriting parameters can be achieved by following the Hydra documentation.
Nevertheless, overwriting (or adding) new default properties for pycasx launch is not as straight forward as one might try.
The correct syntax to overwrite (or add) a default property is
pycasx launch ++prop='{/autopilot/settings/target-speed-kt: 123456789}'
Citation
If you found our work useful, please cite our paper:
@InProceedings{Christensen2024,
author = {Christensen, Johann Maximilian and Anilkumar Girija, Akshay and Stefani, Thomas and Durak, Umut and Hoemann, Elena and K{\"{o}}ster, Frank and Kr{\"{u}}ger, Thomas and Hallerbach, Sven},
booktitle = {36th {IEEE} International Conference on Tools with Artificial Intelligence ({ICTAI})},
date = {2024-10},
title = {Advancing the AI-Based Realization of ACAS X Towards Real-World Application},
}
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