Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6288
Title: Application of a 24 GHz FMCW Automotive Radar for Urban Target Classification
Authors: Villeval, Shahar
Bilik, Igal
Gürbüz, Sevgi Zübeyde
Keywords: [No Keywords]
Issue Date: 2014
Publisher: IEEE
Source: IEEE Radar Conference - From Sensing to Information -- MAY 19-23, 2014 -- Cincinnati, OH
Series/Report no.: IEEE Radar Conference
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.
URI: https://hdl.handle.net/20.500.11851/6288
ISBN: 978-1-4799-2035-8
ISSN: 1097-5764
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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