• Partially observable Markov decision processes (POMDPs) represent sequential decision problems using a probabilistic model and cost function • POMDP approach to deciding when to validate ADS-B reports results in fewer queries while maintaining safety • Method is robust to noise in position and major faults • Further work will focus on enhancing the model


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Position validation strategies using partially observable Markov decision processes


    Beteiligte:


    Erscheinungsdatum :

    01.10.2011


    Format / Umfang :

    287812 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Position validation strategies using partially observable Markov decision processes

    Kochenderfer, Mykel J. / Shih, Kevin J. / Chryssanthacopoulos, James P. et al. | IEEE | 2011


    Signal Source Localization Using Partially Observable Markov Decision Processes

    Dressel, Louis K. / Kochenderfer, Mykel J. | AIAA | 2015


    Unmanned Aircraft Collision Avoidance Using Partially Observable Markov Decision Processes

    S. Temizer / M. J. Koehenderfer / L. P. Kaelbling et al. | NTIS | 2009



    Multirobot Navigation Using Partially Observable Markov Decision Processes with Belief-Based Rewards

    Tzikas, Alexandros E. / Knowles, Derek / Gao, Grace X. et al. | AIAA | 2023