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

Jonghun Lee; Youngseok Jin; Bong Seok Kim; Seungeon Song; Sangdong Kim

doi:10.1109/ICUFN57995.2023.10200768

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

Jonghun Lee, Youngseok Jin, Bong Seok Kim, Seungeon Song, Sangdong Kim

Division of Automotive Technology

Daegu Gyeongbuk Institute of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	ICUFN 2023 - 14th International Conference on Ubiquitous and Future Networks
Publisher	IEEE Computer Society
Pages	190-193
Number of pages	4
ISBN (Electronic)	9798350335385
DOIs	https://doi.org/10.1109/ICUFN57995.2023.10200768
State	Published - 2023
Event	14th International Conference on Ubiquitous and Future Networks, ICUFN 2023 - Paris, France Duration: 4 Jul 2023 → 7 Jul 2023

Publication series

Name	International Conference on Ubiquitous and Future Networks, ICUFN
Volume	2023-July
ISSN (Print)	2165-8528
ISSN (Electronic)	2165-8536

Conference

Conference	14th International Conference on Ubiquitous and Future Networks, ICUFN 2023
Country/Territory	France
City	Paris
Period	4/07/23 → 7/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Active Safety system
Automotive Radar
BSD
Intelligent Vehicle
LCA
ROI pre-processing

Access to Document

10.1109/ICUFN57995.2023.10200768

Cite this

Lee, J., Jin, Y., Kim, B. S., Song, S., & Kim, S. (2023). Performance Evaluation of 24GHz FMCW Radar-based Blind-spot Detection and Lane-change Assistance under Dynamic Driving Conditions in a Vehicle Proving Ground. In ICUFN 2023 - 14th International Conference on Ubiquitous and Future Networks (pp. 190-193). (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2023-July). IEEE Computer Society. https://doi.org/10.1109/ICUFN57995.2023.10200768

Lee, Jonghun ; Jin, Youngseok ; Kim, Bong Seok et al. / Performance Evaluation of 24GHz FMCW Radar-based Blind-spot Detection and Lane-change Assistance under Dynamic Driving Conditions in a Vehicle Proving Ground. ICUFN 2023 - 14th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2023. pp. 190-193 (International Conference on Ubiquitous and Future Networks, ICUFN).

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

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.",

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author = "Jonghun Lee and Youngseok Jin and Kim, {Bong Seok} and Seungeon Song and Sangdong Kim",

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Lee, J, Jin, Y, Kim, BS, Song, S & Kim, S 2023, Performance Evaluation of 24GHz FMCW Radar-based Blind-spot Detection and Lane-change Assistance under Dynamic Driving Conditions in a Vehicle Proving Ground. in ICUFN 2023 - 14th International Conference on Ubiquitous and Future Networks. International Conference on Ubiquitous and Future Networks, ICUFN, vol. 2023-July, IEEE Computer Society, pp. 190-193, 14th International Conference on Ubiquitous and Future Networks, ICUFN 2023, Paris, France, 4/07/23. https://doi.org/10.1109/ICUFN57995.2023.10200768

Performance Evaluation of 24GHz FMCW Radar-based Blind-spot Detection and Lane-change Assistance under Dynamic Driving Conditions in a Vehicle Proving Ground. / Lee, Jonghun; Jin, Youngseok; Kim, Bong Seok et al.
ICUFN 2023 - 14th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2023. p. 190-193 (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2023-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Lee J, Jin Y, Kim BS, Song S, Kim S. Performance Evaluation of 24GHz FMCW Radar-based Blind-spot Detection and Lane-change Assistance under Dynamic Driving Conditions in a Vehicle Proving Ground. In ICUFN 2023 - 14th International Conference on Ubiquitous and Future Networks. IEEE Computer Society. 2023. p. 190-193. (International Conference on Ubiquitous and Future Networks, ICUFN). doi: 10.1109/ICUFN57995.2023.10200768

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this