Detect and AvoID Alerting Logic for Unmanned Systems
This repository includes a prototype implementation written in Java and C++ of DAIDALUS (Detect and Avoid Alerting Logic for Unmanned Systems). DAIDALUS is a reference implementation of a detect and avoid concept intended to support the integration of Unmanned Aircraft Systems into civil airspace. The repository also includes definitions in Matlab of a family of well-clear violation volumes and the formal specification of DAIDALUS core algorithms in the Prototype Verification System (PVS).
DAIDALUS is a reference implementation of the detect and avoid (DAA) functional requirements described in Appendix G of DO-365, the Minimum Operational Performance Standards (MOPS) for Unmanned Aircraft Systems (UAS) developed by RTCA Special Committee 228 (SC-228). The current software release implements
- detection logic,
- alerting logic based on hazard and non-hazard volumes, and
- multi-level instantaneous and kinematic maneuver guidance.
A draft of user guide is available at https://nasa.github.io/WellClear.
For technical information about the definitions and algorithms in this repository, visit https://shemesh.larc.nasa.gov/fm/DAIDALUS.
The code in this repository is released under NASA's Open Source
Agreement. See the directory
LICENSES; see also the copyright notice at the end of this file.
The DAIDALUS logo was designed by Mahyar Malekpour, NASA Langley Research Center.
Copyright 2016 United States Government as represented by the Administrator of the National Aeronautics and Space Administration. All Rights Reserved.
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