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Scientific Machine Learning-Supported Heterogeneous Track-to-Track Fusion Using Radar and Infrared Sensors

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dc.contributor.authorAyzit, Recep
dc.contributor.authorBaykal, Yasin
dc.contributor.authorInalhan, Gökhan
dc.contributor.authorBaspinar, Baris
dc.contributor.departmentUçak Mühendisliği Bölümü
dc.contributor.departmentUçak Mühendisliği Bölümü
dc.contributor.departmentUçak Mühendisliği Bölümü
dc.contributor.ituauthorAyzit, Recep
dc.contributor.ituauthorİnalhan, Gökhan
dc.contributor.ituauthorBaşpınar, Barış
dc.date.accessioned2026-01-29T04:26:59Z
dc.date.issued2025-08-25
dc.description.urihttps://doi.org/10.1109/ccta53793.2025.11151411
dc.description.urihttps://doi.org/10.1109/CCTA53793.2025.11151411
dc.identifier.doi10.1109/ccta53793.2025.11151411
dc.identifier.endpage716
dc.identifier.openairedoi_dedup___::77fa91e40a9885bfd92f6bac356c92be
dc.identifier.startpage711
dc.identifier.urihttps://hdl.handle.net/11527/67488
dc.publisherIEEE
dc.relation.ispartof2025 IEEE Conference on Control Technology and Applications (CCTA)
dc.rightsCLOSED
dc.titleScientific Machine Learning-Supported Heterogeneous Track-to-Track Fusion Using Radar and Infrared Sensors
dc.typeArticle
dspace.entity.typePublication
person.identifier.orcid0000-0002-4490-8358

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