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
교통환경의 안전성과 효율성을 높이기 위해서는 지능형교통시스템(ITS) 개발이 무엇보다 중요합니다. ITS에서 도로변 장치(RSU)는 레이더 감지 및 통신을 사용하여 환경 인식 및 연결을 가능하게 하는 중요한 구성 요소입니다. 이 백서에서는 다중 레이더 시스템을 갖춘 RSU에 중점을 둡니다. 구체적으로, 전반적인 감지 성능을 향상시키기 위해 다중 레이더 시스템의 매개변수 선택 방법을 제안합니다. 또한, 서로 다른 레이더는 서로 다른 감지 및 추적 결과를 제공하므로 여러 레이더의 이점을 활용하기 위해 서로 다른 레이더의 추적 결과를 통합하는 융합 알고리즘을 제안합니다. 우리는 두 개의 상용 주파수 변조 연속파(FMCW) 레이더를 사용하여 대만 신주(Hsinchu)시에서 실험을 수행했습니다. 실험 결과는 우리가 제안한 접근 방식이 전반적인 감지 성능을 향상시킬 수 있음을 검증합니다.
Kuan-Cheng YEH
National Yang Ming Chiao Tung University
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
Hsiang-Hsuan HUNG
Chunghwa Telecom Co. Ltd.
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부
Kuan-Cheng YEH, Chia-Hsing YANG, Ming-Chun LEE, Ta-Sung LEE, Hsiang-Hsuan HUNG, "Parameter Selection and Radar Fusion for Tracking in Roadside Units" in IEICE TRANSACTIONS on Communications,
vol. E106-B, no. 9, pp. 855-863, September 2023, doi: 10.1587/transcom.2022EBP3146.
Abstract: To enhance safety and efficiency in the traffic environment, developing intelligent transportation systems (ITSs) is of paramount importance. In ITSs, roadside units (RSUs) are critical components that enable the environment awareness and connectivity via using radar sensing and communications. In this paper, we focus on RSUs with multiple radar systems. Specifically, we propose a parameter selection method of multiple radar systems to enhance the overall sensing performance. Furthermore, since different radars provide different sensing and tracking results, to benefit from multiple radars, we propose fusion algorithms to integrate the tracking results of different radars. We use two commercial frequency-modulated continuous wave (FMCW) radars to conduct experiments at Hsinchu city in Taiwan. The experimental results validate that our proposed approaches can improve the overall sensing performance.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2022EBP3146/_p
부
@ARTICLE{e106-b_9_855,
author={Kuan-Cheng YEH, Chia-Hsing YANG, Ming-Chun LEE, Ta-Sung LEE, Hsiang-Hsuan HUNG, },
journal={IEICE TRANSACTIONS on Communications},
title={Parameter Selection and Radar Fusion for Tracking in Roadside Units},
year={2023},
volume={E106-B},
number={9},
pages={855-863},
abstract={To enhance safety and efficiency in the traffic environment, developing intelligent transportation systems (ITSs) is of paramount importance. In ITSs, roadside units (RSUs) are critical components that enable the environment awareness and connectivity via using radar sensing and communications. In this paper, we focus on RSUs with multiple radar systems. Specifically, we propose a parameter selection method of multiple radar systems to enhance the overall sensing performance. Furthermore, since different radars provide different sensing and tracking results, to benefit from multiple radars, we propose fusion algorithms to integrate the tracking results of different radars. We use two commercial frequency-modulated continuous wave (FMCW) radars to conduct experiments at Hsinchu city in Taiwan. The experimental results validate that our proposed approaches can improve the overall sensing performance.},
keywords={},
doi={10.1587/transcom.2022EBP3146},
ISSN={1745-1345},
month={September},}
부
TY - JOUR
TI - Parameter Selection and Radar Fusion for Tracking in Roadside Units
T2 - IEICE TRANSACTIONS on Communications
SP - 855
EP - 863
AU - Kuan-Cheng YEH
AU - Chia-Hsing YANG
AU - Ming-Chun LEE
AU - Ta-Sung LEE
AU - Hsiang-Hsuan HUNG
PY - 2023
DO - 10.1587/transcom.2022EBP3146
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2023
AB - To enhance safety and efficiency in the traffic environment, developing intelligent transportation systems (ITSs) is of paramount importance. In ITSs, roadside units (RSUs) are critical components that enable the environment awareness and connectivity via using radar sensing and communications. In this paper, we focus on RSUs with multiple radar systems. Specifically, we propose a parameter selection method of multiple radar systems to enhance the overall sensing performance. Furthermore, since different radars provide different sensing and tracking results, to benefit from multiple radars, we propose fusion algorithms to integrate the tracking results of different radars. We use two commercial frequency-modulated continuous wave (FMCW) radars to conduct experiments at Hsinchu city in Taiwan. The experimental results validate that our proposed approaches can improve the overall sensing performance.
ER -