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dc.contributor.author Lee, Jonghun -
dc.contributor.author Jin, YoungSeok -
dc.contributor.author Kim, Bong-seok -
dc.contributor.author Song, Seungeon -
dc.contributor.author Kim, Sangdong -
dc.date.accessioned 2024-01-22T16:10:17Z -
dc.date.available 2024-01-22T16:10:17Z -
dc.date.created 2023-09-12 -
dc.date.issued 2023-07-04 -
dc.identifier.isbn 9798350335385 -
dc.identifier.issn 2165-8536 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/47640 -
dc.description.abstract In this paper, an integrated mid-range automotive radar system with both Blind Spot Detection (BSD) and Lane Change Assistance (LCA) functions was developed. The system's maximum detection range was extended to 80m with an update time of 50ms or less. To assess the system's performance in real-world driving conditions, complex dynamic driving scenarios, including lane changing and lane following, in both straight and curved road environments were tested at an automotive proving ground. The developed integrated Blind-Spot Detection (BSD) and Lane Change Assistance (LCA) radar system was evaluated to determine its accuracy in detecting obstacles in the BSD and LCA regions and distinguishing true and false targets. The system demonstrated high probability of detection (Pd) of 94.4% and low false alarm rate (Fa) of 2.4%. BSD performance showed a Pd of 96.0% and 91.3% for constant velocity and longitudinal movement, respectively. LCA performance showed a Pd of 90% or higher and a Fa of 3% or less. The system was effective in enhancing road safety. © 2023 IEEE. -
dc.language English -
dc.publisher 한국통신학회 (The Korean Institute of Communications and Information Sciences, KICS) -
dc.title Performance Evaluation of 24GHz FMCW Radar-based Blind-spot Detection and Lane-change Assistance under Dynamic Driving Conditions in a Vehicle Proving Ground -
dc.type Conference Paper -
dc.identifier.doi 10.1109/ICUFN57995.2023.10200768 -
dc.identifier.scopusid 2-s2.0-85169290602 -
dc.identifier.bibliographicCitation 14th International Conference on Ubiquitous and Future Networks (ICUFN 2023), pp.190 - 193 -
dc.identifier.url http://2023.icufn.org/wp-content/uploads/2023/10/ICUFN2023Programbook_v18.pdf -
dc.citation.conferencePlace FR -
dc.citation.conferencePlace Paris -
dc.citation.endPage 193 -
dc.citation.startPage 190 -
dc.citation.title 14th International Conference on Ubiquitous and Future Networks (ICUFN 2023) -
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Division of Automotive Technology 2. Conference Papers
Division of Automotive Technology Advanced Radar Tech. Lab 2. Conference Papers

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