In the hierarchical composite highway environment, anomalies such as misidentification and reverse identification may occur between ETC gantry antennas and onboard media, leading to confusion in stored path and billing information within onboard media, causing abnormalities in toll collection at exits. To achieve precise identification of vehicles in both upper and lower layers, a multi-level data fusion-based hierarchical vehicle identification method is proposed. The basic idea is to utilize front-end perception devices such as ETC positioning antennas, LiDARs, video cameras, and license plate recognition camera. The target positioning information formed by the fusion of LiDARs and video cameras is fused with the target positioning information identified by ETC positioning antennas and gantry cameras, the identification information of successfully matched vehicles is extracted from the transaction records of ETC positioning antennas to obtain accurate vehicle perception data. The identification information is written into onboard media through ETC positioning antennas, achieving precise matching of driving vehicles and onboard media at the front end, forming complete structured vehicle information and unstructured vehicle images to support hierarchical and precise vehicle identification. The accuracy of the algorithm was validated through the development and testing of a prototype system.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Hierarchical Composite Highway Vehicle Precise Identification Based on Multi-Source Data Fusion


    Weitere Titelangaben:

    Advances in Engineering res


    Beteiligte:
    Zhao, Gaofeng (Herausgeber:in) / Satyanaga, Alfrendo (Herausgeber:in) / Ramani, Sujatha Evangelin (Herausgeber:in) / Abdel Raheem, Shehata E. (Herausgeber:in) / Li, Lin (Autor:in) / Li, Hengyu (Autor:in) / Gao, Jian (Autor:in) / Li, Wanjun (Autor:in) / Zhu, Jierui (Autor:in)

    Kongress:

    International Symposium on Traffic Transportation and Civil Architecture ; 2024 ; Tianjin, China June 21, 2024 - June 23, 2024



    Erscheinungsdatum :

    24.09.2024


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Highway monitoring device based on multi-source data fusion

    XU DONGXIN / KANG WENHUI / QU YI et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Highway fatigue driving early warning management method based on multi-source data fusion analysis

    WEI GUANGQI / SU YUEJIANG / YANG XINGQING et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Vehicle-road cooperation precise positioning method based on electrified highway

    LIU ZHICHAO / ZHOU WEI / LI WENLIANG et al. | Europäisches Patentamt | 2025

    Freier Zugriff

    VEHICLE-ROAD COOPERATION PRECISE POSITIONING METHOD BASED ON ELECTRIFIED HIGHWAY

    LIU ZHICHAO / ZHOU WEI / LI WENLIANG et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Key Data Source Identification Method Based on Multi-Source Traffic Data Fusion

    Li, Shuo / Zhang, Mengmeng / Chen, Yongheng | ASCE | 2020