The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
지능형 교통 시스템(ITS)은 최근 교통의 안전성과 효율성을 향상시키기 위해 광범위하게 연구되어 왔습니다. ITS가 환경을 모니터링할 수 있도록 레이더 시스템을 사용하는 것은 기상 조건에 강력하고 사용자 개인 정보 보호에 덜 침해적입니다. 더욱이, 도로변 장치(RSU)에 레이더 모듈을 장착하는 것은 ITS 운영자에게 경제적이고 효율적인 옵션으로 간주되었습니다. 그러나 탐지 및 추적 매개변수는 레이더 시스템 성능에 큰 영향을 미칠 수 있고 다양한 시나리오에 가장 적합한 매개변수가 다르기 때문에 레이더 시스템에 적합한 매개변수를 선택하는 것이 중요합니다. 본 연구에서는 레이더 매개변수 선택에 대해 조사하고 결과적으로 레이더 시스템에 적합한 탐지 및 추적 매개변수를 자동으로 선택할 수 있는 매개변수 선택 접근 방식을 제안합니다. 실험 결과는 제안된 방법이 적절한 매개변수 선택을 실현함으로써 레이더 시스템의 탐지 및 추적 성능을 크게 향상시키는 것을 나타냅니다.
Chia-Hsing YANG
National Yang Ming Chiao Tung University
Ming-Chun LEE
National Yang Ming Chiao Tung University
Ta-Sung LEE
National Yang Ming Chiao Tung University
Hsiu-Chi CHANG
Chunghwa Telecom Co. Ltd.
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부
Chia-Hsing YANG, Ming-Chun LEE, Ta-Sung LEE, Hsiu-Chi CHANG, "Parameter Selection for Radar Systems in Roadside Units" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 7, pp. 885-892, July 2022, doi: 10.1587/transcom.2021EBP3097.
Abstract: Intelligent transportation systems (ITSs) have been extensively studied in recent years to improve the safety and efficiency of transportation. The use of a radar system to enable the ITSs monitor the environment is robust to weather conditions and is less invasive to user privacy. Moreover, equipping the roadside units (RSUs) with radar modules has been deemed an economical and efficient option for ITS operators. However, because the detection and tracking parameters can significantly influence the radar system performance and the best parameters for different scenarios are different, the selection of appropriate parameters for the radar systems is critical. In this study, we investigated radar parameter selection and consequently proposes a parameter selection approach capable of automatically choosing the appropriate detection and tracking parameters for radar systems. The experimental results indicate that the proposed method realizes appropriate selection of parameters, thereby significantly improving the detection and tracking performance of radar systems.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3097/_p
부
@ARTICLE{e105-b_7_885,
author={Chia-Hsing YANG, Ming-Chun LEE, Ta-Sung LEE, Hsiu-Chi CHANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Parameter Selection for Radar Systems in Roadside Units},
year={2022},
volume={E105-B},
number={7},
pages={885-892},
abstract={Intelligent transportation systems (ITSs) have been extensively studied in recent years to improve the safety and efficiency of transportation. The use of a radar system to enable the ITSs monitor the environment is robust to weather conditions and is less invasive to user privacy. Moreover, equipping the roadside units (RSUs) with radar modules has been deemed an economical and efficient option for ITS operators. However, because the detection and tracking parameters can significantly influence the radar system performance and the best parameters for different scenarios are different, the selection of appropriate parameters for the radar systems is critical. In this study, we investigated radar parameter selection and consequently proposes a parameter selection approach capable of automatically choosing the appropriate detection and tracking parameters for radar systems. The experimental results indicate that the proposed method realizes appropriate selection of parameters, thereby significantly improving the detection and tracking performance of radar systems.},
keywords={},
doi={10.1587/transcom.2021EBP3097},
ISSN={1745-1345},
month={July},}
부
TY - JOUR
TI - Parameter Selection for Radar Systems in Roadside Units
T2 - IEICE TRANSACTIONS on Communications
SP - 885
EP - 892
AU - Chia-Hsing YANG
AU - Ming-Chun LEE
AU - Ta-Sung LEE
AU - Hsiu-Chi CHANG
PY - 2022
DO - 10.1587/transcom.2021EBP3097
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2022
AB - Intelligent transportation systems (ITSs) have been extensively studied in recent years to improve the safety and efficiency of transportation. The use of a radar system to enable the ITSs monitor the environment is robust to weather conditions and is less invasive to user privacy. Moreover, equipping the roadside units (RSUs) with radar modules has been deemed an economical and efficient option for ITS operators. However, because the detection and tracking parameters can significantly influence the radar system performance and the best parameters for different scenarios are different, the selection of appropriate parameters for the radar systems is critical. In this study, we investigated radar parameter selection and consequently proposes a parameter selection approach capable of automatically choosing the appropriate detection and tracking parameters for radar systems. The experimental results indicate that the proposed method realizes appropriate selection of parameters, thereby significantly improving the detection and tracking performance of radar systems.
ER -