Partially observable Markov decision processes for risk-based screening

Alex Mrozack, Xuejun Liao, Sondre Skatter, Lawrence Carin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A long-term goal for checked baggage screening in airports has been to include passenger information, or at least a predetermined passenger risk level, in the screening process. One method for including that information could be treating the checked baggage screening process as a system-of-systems. This would allow for an optimized policy builder, such as one trained using the methodology of partially observable Markov decision processes (POMDP), to navigate the different sensors available for screening. In this paper we describe the necessary steps to tailor a POMDP for baggage screening, as well as results of simulations for specific screening scenarios.
Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIEspie@spie.org
ISBN (Print)9781510600881
DOIs
StatePublished - Jan 1 2016
Externally publishedYes

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