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Performance Evaluation of 24GHz FMCW Radar-based Blind-spot Detection and Lane-change Assistance under Dynamic Driving Conditions in a Vehicle Proving Ground

Title
Performance Evaluation of 24GHz FMCW Radar-based Blind-spot Detection and Lane-change Assistance under Dynamic Driving Conditions in a Vehicle Proving Ground
Author(s)
Lee, JonghunJin, YoungSeokKim, Bong-seokSong, SeungeonKim, Sangdong
Issued Date
2023-07-04
Citation
14th International Conference on Ubiquitous and Future Networks (ICUFN 2023), pp.190 - 193
Type
Conference Paper
ISBN
9798350335385
ISSN
2165-8536
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.
URI
http://hdl.handle.net/20.500.11750/47640
DOI
10.1109/ICUFN57995.2023.10200768
Publisher
한국통신학회 (The Korean Institute of Communications and Information Sciences, KICS)
Related Researcher
  • 이종훈 Lee, Jonghun
  • Research Interests Radar; AI; DL/ML; signal processing
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Appears in Collections:
Division of Automotive Technology 2. Conference Papers
Division of Automotive Technology Advanced Radar Tech. Lab 2. Conference Papers

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