openCASp - an open source passive Collision Avoidance System

The openCASp is developed as an AI/ML practical use case for the XANDAR project. It is built upon the open source code from Stanford Intelligence Systems Laboratory (SISL) called VerticalCAS and HorizontalCAS. The underlying publication can be seen here.
For citation of said paper, please use:

@inproceedings{julian2019guaranteeing,
  title={Guaranteeing safety for neural network-based aircraft collision avoidance systems},
  author={Julian, Kyle D and Kochenderfer, Mykel J},
  booktitle={Digital Avionics Systems Conference (DASC)},
  year={2019}
}

With Horizontal- and VerticalCAS as a basis, this working group is modifying the code to improve performance, reliablity, dependability and robustness.

Current openCASp version

Here you can find a mdzip file with the current openCASp version. Mdpzip is the data format of the tool Cameo Systems Modeller. There has been no good way to make it usable for other application, this is only usable if you have Cameo yourself (used version: 19.0 SP3). We are working on a more open source solution.

Web application (work in progress)

If you do not have Cameo Systems Modeller and no general solution has been found yet, you can still look at the model via a web application. You cannot modify this! It is solely for getting an insight.