Destination and time-series inference of moving objects via conditionally Markov process

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dc.contributor.authorLee, Seokwon
dc.contributor.authorShin, Hyo-Sang
dc.date.accessioned2024-10-17T16:33:59Z
dc.date.available2024-10-17T16:33:59Z
dc.date.freetoread2024-10-17
dc.date.issued2024-10
dc.date.pubOnline2024-09-21
dc.description.abstractThis paper presents a destination and time-series inference algorithm for tracking moving targets. The destination of the object is considered the intent, and inference and state estimation are performed in the Bayesian framework. To describe the destination-aware target motion, we construct the state transition model using a conditionally Markov process. We introduce a multiple model to achieve simultaneous intent and time-series inferences. Given finite destination candidates, the maximum a posteriori hypothesis is chosen as the destination. For time-series inference, local estimates obtained from Kalman filters are fused to yield target state estimates. To address unspecified terminal conditions, the proposed algorithm incorporates parameter correction techniques based on relative geometry. Numerical simulations are performed to validate the proposed inference algorithm.
dc.description.journalNameCEAS Aeronautical Journal
dc.description.sponsorshipNational Research Foundation of Korea, Ministry of Science and ICT
dc.description.sponsorshipThis work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korea government (no. 2023K2A9A1A01098669).
dc.format.extent1189-1199
dc.identifier.citationLee S, Shin H-S. (2024) Destination and time-series inference of moving objects via conditionally Markov process. CEAS Aeronautical Journal, Volume 15, Issue 4, October 2024, pp. 1189-1199
dc.identifier.eissn1869-5590
dc.identifier.elementsID554040
dc.identifier.issn1869-5582
dc.identifier.issueNo4
dc.identifier.urihttps://doi.org/10.1007/s13272-024-00763-5
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/23040
dc.identifier.volumeNo15
dc.languageEnglish
dc.language.isoen
dc.publisherSpringer
dc.publisher.urihttps://link.springer.com/article/10.1007/s13272-024-00763-5
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject40 Engineering
dc.subject4001 Aerospace Engineering
dc.subjectCardiovascular
dc.subject4001 Aerospace engineering
dc.titleDestination and time-series inference of moving objects via conditionally Markov process
dc.typeArticle
dc.type.subtypeJournal Article
dcterms.dateAccepted2024-08-06

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