• 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
Position validation strategies using partially observable Markov decision processes
01.10.2011
287812 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
UAV Guidance Algorithms via Partially Observable Markov Decision Processes
Springer Verlag | 2014
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