Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/11777
Full metadata record
DC FieldValueLanguage
dc.contributor.authorErog, Ö.-
dc.contributor.authorOrduyılmaz, A.-
dc.date.accessioned2024-09-22T13:30:28Z-
dc.date.available2024-09-22T13:30:28Z-
dc.date.issued2024-
dc.identifier.isbn979-835038896-1-
dc.identifier.urihttps://doi.org/10.1109/SIU61531.2024.10600895-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/11777-
dc.descriptionBerdan Civata B.C.; et al.; Figes; Koluman; Loodos; Tarsus Universityen_US
dc.description32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 -- 15 May 2024 through 18 May 2024 -- Mersin -- 201235en_US
dc.description.abstractAutomotive radar system is one of the most important components of the advanced vehicle support systems. Basically, it stands out from other sensors with its capability of being less affected by weather conditions and precise range and speed measurement. Multiple radar sensors are used for precise detection and full coverage for near and far range. By using multiple radar sensors in the vehicle, precise detection and full coverage are provided at near and far range. Processing data received from multiple sensors in a single center enables both the commonality of data and the creation of higher capacity signal processing capabilities. For this purpose, a central processing analysis of the compression of radar raw data with the JPEG 2000 method was carried out. JPEG 2000 method with low loss for high compression ratios can be provided via hardware accelerators. In these analyses, image evaluation tools such as peak SNR and mean squared error, as well as the distortions in radar parameters such as range and speed estimation have been observed. It was determined that for the compression rates of up to 70%, there was no consequential decline in radar detection performance. © 2024 IEEE.en_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Proceedingsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCompressionen_US
dc.subjectimageen_US
dc.subjectradaren_US
dc.subjectraw dataen_US
dc.subjectAutomotive radaren_US
dc.subjectData handlingen_US
dc.subjectImage compressionen_US
dc.subjectMean square erroren_US
dc.subjectPetroleum reservoir evaluationen_US
dc.subjectRadar equipmenten_US
dc.subjectRadar imagingen_US
dc.subjectRadar measurementen_US
dc.subjectTracking radaren_US
dc.subjectAdvanced vehicleen_US
dc.subjectAutomotive radaren_US
dc.subjectAutomotive radar systemen_US
dc.subjectCompressionen_US
dc.subjectImageen_US
dc.subjectJPEG 2000en_US
dc.subjectMultiple radaren_US
dc.subjectRadar sensorsen_US
dc.subjectRaw dataen_US
dc.subjectSupport systemsen_US
dc.subjectSignal to noise ratioen_US
dc.titleCompression Analysis of Automotive Radar Raw Dataen_US
dc.title.alternativeOtomotiv Radar Ham Verilerinin Sıkıştırma Analizien_US
dc.typeConference Objecten_US
dc.departmentTOBB ETÜen_US
dc.identifier.scopus2-s2.0-85200832511-
dc.institutionauthor-
dc.identifier.doi10.1109/SIU61531.2024.10600895-
dc.authorscopusid59254149400-
dc.authorscopusid23490170000-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityN/A-
dc.identifier.wosqualityN/A-
item.fulltextNo Fulltext-
item.languageiso639-1tr-
item.grantfulltextnone-
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Show simple item record



CORE Recommender

Page view(s)

12
checked on Dec 23, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.