Stone Soup: ADS-B-based Multi-Target Tracking with Stochastic Integration Filter

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dc.contributor.authorHiles, John
dc.contributor.authorMatoušek, Jakub
dc.contributor.authorBlasch, Erik
dc.contributor.authorNiu, Ruixin
dc.contributor.authorStraka, Ondřej
dc.contributor.authorDuník, Jindřich
dc.date.accessioned2026-03-19T19:05:16Z
dc.date.available2026-03-19T19:05:16Z
dc.date.issued2025
dc.date.updated2026-03-19T19:05:15Z
dc.description.abstractThis paper focuses on the multi-target tracking using the Stone Soup framework. In particular, we aim at evaluation of two multi-target tracking scenarios based on the simulated class-B dataset and ADS-B class-A dataset provided by OpenSky Network. The scenarios are evaluated w.r.t. selection of a local state estimator using a range of the Stone Soup metrics. Source code with scenario definitions and Stone Soup set-up are provided along with the paper.en
dc.format8
dc.identifier.doi10.23919/FUSION65864.2025.11124002
dc.identifier.isbn978-1-03-705623-9
dc.identifier.obd43947505
dc.identifier.orcidMatoušek, Jakub 0000-0001-5014-1088
dc.identifier.orcidBlasch, Erik 0000-0001-6894-6108
dc.identifier.orcidNiu, Ruixin 0000-0003-2511-9174
dc.identifier.orcidStraka, Ondřej 0000-0003-3066-5882
dc.identifier.orcidDuník, Jindřich 0000-0003-1460-8845
dc.identifier.urihttp://hdl.handle.net/11025/67300
dc.language.isoen
dc.project.IDGC25-16919J
dc.project.IDEH22_008/0004590
dc.publisherIEEE
dc.relation.ispartofseries28th International Conference on Information Fusion, FUSION 2025
dc.subjectADS-Ben
dc.subjectmulti-target trackingen
dc.subjectstate estimationen
dc.subjectstochastic integration ruleen
dc.subjectStone Soupen
dc.titleStone Soup: ADS-B-based Multi-Target Tracking with Stochastic Integration Filteren
dc.typeStať ve sborníku (D)
dc.typeSTAŤ VE SBORNÍKU
dc.type.statusPublished Version
local.files.count1*
local.files.size1814491*
local.has.filesyes*
local.identifier.eid2-s2.0-105015878978

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