Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/6288
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Villeval, Shahar | - |
dc.contributor.author | Bilik, Igal | - |
dc.contributor.author | Gürbüz, Sevgi Zübeyde | - |
dc.date.accessioned | 2021-09-11T15:35:39Z | - |
dc.date.available | 2021-09-11T15:35:39Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.citation | IEEE Radar Conference - From Sensing to Information -- MAY 19-23, 2014 -- Cincinnati, OH | en_US |
dc.identifier.isbn | 978-1-4799-2035-8 | - |
dc.identifier.issn | 1097-5764 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/6288 | - |
dc.description.abstract | Pedestrian safety is one of the major tasks of automotive radars. Pedestrian detection in practical urban scenarios is challenging task due to the strong vertical and horizontal multipath phenomena from the asphalt roads and surrounding buildings, proximity to other obstacles with high-radar cross section, and high probability of blockage by other targets. This work addresses the problem of joint pedestrian detection and classification in a practical urban environment by a 24 GHz FMCW automotive radar. The urban RF environment consisting of the asphalt road, vehicles and pedestrian was simulated. Micro-Doppler analysis was used to discriminate between pedestrians, vehicles, and animals. A variety of human activities, including mixed motion sequences were tested in target classification simulations. | en_US |
dc.description.sponsorship | IEEE, AESS, IEEE Signal Proc Soc, IEEE Geoscience & Remote Sensing Soc, IEEE Antennas & Propagat Soc, Antenna Measurement & Tech Assoc, Inst Navigat | en_US |
dc.description.sponsorship | General Motors; EU FP7 ProjectEuropean Commission [PIRG-GA-2010-268276] | en_US |
dc.description.sponsorship | This work was supported by General Motors and by EU FP7 Project No. PIRG-GA-2010-268276. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2014 IEEE Radar Conference | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | [No Keywords] | en_US |
dc.title | Application of a 24 Ghz Fmcw Automotive Radar for Urban Target Classification | en_US |
dc.type | Conference Object | en_US |
dc.relation.ispartofseries | IEEE Radar Conference | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Electrical and Electronics Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | tr_TR |
dc.identifier.startpage | 1237 | en_US |
dc.identifier.endpage | 1240 | en_US |
dc.authorid | 0000-0002-0708-4038 | - |
dc.authorid | 0000-0001-7487-9087 | - |
dc.identifier.wos | WOS:000346494600244 | en_US |
dc.identifier.scopus | 2-s2.0-84906707421 | en_US |
dc.institutionauthor | Gürbüz, Sevgi Zübeyde | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.relation.conference | IEEE Radar Conference - From Sensing to Information | en_US |
item.openairetype | Conference Object | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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