One approach to designing decision-making logic for an aircraft collision avoidance system frames the problem as a Markov decision process and optimizes the system using dynamic programming. The resulting collision avoidance strategy can be represented as a numeric table. This methodology has been used in the development of the Airborne Collision Avoidance System X family of collision avoidance systems for manned and unmanned aircraft, but the high-dimensionality of the state space leads to very large tables. To improve storage efficiency, a deep neural network is used to approximate the table. With the use of an asymmetric loss function and a gradient descent algorithm, the parameters for this network can be trained to provide accurate estimates of table values while preserving the relative preferences of the possible advisories for each state. By training multiple networks to represent subtables, the network also decreases the required runtime for computing the collision avoidance advisory. Simulation studies show that the network improves the safety and efficiency of the collision avoidance system. Because only the network parameters need to be stored, the required storage space is reduced by a factor of 1000, enabling the collision avoidance system to operate using current avionics systems.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Deep Neural Network Compression for Aircraft Collision Avoidance Systems


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2018-11-16


    Format / Umfang :

    11 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Policy compression for aircraft collision avoidance systems

    Julian, Kyle D. / Lopez, Jessica / Brush, Jeffrey S. et al. | IEEE | 2016


    Reachability Analysis for Neural Network Aircraft Collision Avoidance Systems

    Julian, Kyle D. / Kochenderfer, Mykel J. | AIAA | 2021



    AIRCRAFT COLLISION AVOIDANCE SYSTEM

    ZIV AV AMIR / BAR-ON MICHAEL | Europäisches Patentamt | 2023

    Freier Zugriff

    Radio collision-avoidance systems for aircraft

    Fitzgerald, R.T. / Brown, H.C. / Reed, M.D. | Engineering Index Backfile | 1960