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.
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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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
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@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},}
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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 -