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  • Detect and AvoID Alerting Logic for Unmanned Systems (DAIDALUS) is a collection of algorithms for a detect and avoid concept that supports the integration of Unmanned Aircraft Systems (UAS) into the National Airspace System (NAS). DAIDALUS algorithms are based on a mathematical definition of the well-clear boundary. The following algorithms are implemented in DAIDALUS.

    DAIDALUS algorithms have been formally specified and verified for functional correctness in PVS[*]. The PVS formal development is part of the NASA PVS Library. Furthermore, implementations of DAIDALUS algorithms in Java and C++ are available under NASA's Open Source Agreement:

    DAIDALUS is included in Appendix G of RTCA/FAA Minimum Operational Performance Standards (MOPS) DO365 for detect and avoid of unmanned aircraft systems (UAS) by RTCA Special Committee 228.

    In 2025, DAIDALUS was awarded the Excellence in Technology Transfer Award.

    FLC 2025 Award Banner

    Publications

    *The DAIDALUS logo was designed by Mahyar Malekpour (NASA).

    The tag [*] identifies links that are outside the NASA domain