Sense-and-avoid (SAA) is a critical research topic for enabling the operation of Unmanned Aircraft Systems (UAS) in civilian airspace. SAA involves two planning related problems: 1) plan-recognition to predict the future trajectory of nearby aircraft, and 2) path planning to avoid conflicts with nearby aircraft that pose a threat. We have designed and built components of a novel intelligent sense-and-avoid (iSAA) reasoning framework that takes into account information about aircraft type, transponder code, communications, local routes, airports, airspace, terrain, and weather to more accurately predict near- and medium-term trajectories of nearby aircraft. By using this additional information both the on-board control software and the ground-based UAS operator can make more informed, intelligent decisions to effectively predict and avoid conflicts and maintain separation. While this capability benefits all categories of UASs operating under both Instrument Flight Rules (IFR) and Visual Flight Rules (VFR), it is absolutely essential for allowing smaller UASs to operate VFR at low altitude in uncontrolled airspace for operations such as survey work, wildlife tracking, aerial photography, utilities inspection, crop dusting, and package delivery.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Intelligent UAS Sense-and-Avoid Utilizing Global Constraints


    Contributors:

    Conference:

    International Conference on Automated Planning and Scheduling ; 2017 ; Portsmouth, NH, United States


    Publication date :

    2014-06-21


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




    Unmanned Aircraft Systems Sense and Avoid Avionics Utilizing ADS-B Transceiver

    Martel, F. / Schultz, R. / Wang, Z. et al. | British Library Conference Proceedings | 2009


    Unmanned Aircraft Systems Sense and Avoid Avionics Utilizing ADS-B Transceiver

    Martel, Florent / Schultz, Richard / Wang, Ziming et al. | AIAA | 2009


    SENSE AND AVOID MANEUVERING

    YEH KEVIN | European Patent Office | 2018

    Free access

    Sense & Avoid for UAVs

    Meyer, J. / Altenkirch, D. / Knorr, R. et al. | British Library Conference Proceedings | 2007


    SENSE AND AVOID MANEUVERING

    YEH KEVIN | European Patent Office | 2018

    Free access