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Design and Development of the 24 GHz FMCW Radar Sensor for Blind Spot Detection and Lane Change Assistance Systems
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dc.contributor.author Ju, Yeonghwan -
dc.contributor.author Kim, Sangdong -
dc.contributor.author Jin, Youngseok -
dc.contributor.author Lee, Jonghun -
dc.date.accessioned 2025-09-01T19:40:12Z -
dc.date.available 2025-09-01T19:40:12Z -
dc.date.created 2017-11-03 -
dc.date.issued 2017-05-24 -
dc.identifier.isbn 9781612085555 -
dc.identifier.issn 2308-3913 -
dc.identifier.uri https://scholar.dgist.ac.kr/handle/20.500.11750/59008 -
dc.description.abstract In this paper, we designed and implemented the automotive radar based on Frequency Modulated Continuous Wave method for Lane Change Assist and Blind Spot Detection radar system. We also developed digital signal processing module and a 24 GHz FMCW radar RF module composed of a single transmitter, a single transmitting antenna array of five elements and three receivers to measure range, velocity and angle for LCA and BSD. In order to verify the developed radar system, we conducted experiments to measure the detection rate and the range accuracy in the anechoic chamber. The experimental results show that the developed radar is feasible for use in BSD/LCA systems for automotive. -
dc.language English -
dc.publisher IARIA -
dc.relation.ispartof ICAS 2017:The Thirteenth International Conference on Autonomic and Autonomous Systems -
dc.title Design and Development of the 24 GHz FMCW Radar Sensor for Blind Spot Detection and Lane Change Assistance Systems -
dc.type Conference Paper -
dc.identifier.wosid 000428763400009 -
dc.identifier.bibliographicCitation 13th International Conference on Autonomic and Autonomous Systems, ICAS 2017, pp.45 - 47 -
dc.identifier.url https://personales.upv.es/thinkmind/ICAS/ICAS_2017/icas_2017_3_30_20037.html -
dc.citation.conferenceDate 2017-05-21 -
dc.citation.conferencePlace SP -
dc.citation.conferencePlace Barcelona -
dc.citation.endPage 47 -
dc.citation.startPage 45 -
dc.citation.title 13th International Conference on Autonomic and Autonomous Systems, ICAS 2017 -
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