This systematic review explores the integration of unmanned aerial vehicles (UAVs) and artificial intelligence (AI) in automating road signage inventory creation, employing the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology to analyze recent advancements. The study evaluates cutting-edge technologies, including UAVs equipped with deep learning algorithms and advanced sensors like light detection and ranging (LiDAR) and multispectral cameras, highlighting their roles in enhancing traffic sign detection and classification. Key challenges include detecting minor or partially obscured signs and adapting to diverse environmental conditions. The findings reveal significant progress in automation, with notable improvements in accuracy, efficiency, and real-time processing capabilities. However, limitations such as computational demands and environmental variability persist. By providing a comprehensive synthesis of current methodologies and performance metrics, this review establishes a robust foundation for future research to advance automated road infrastructure management to improve safety and operational efficiency in urban and rural settings.


    Access

    Download


    Export, share and cite



    Title :

    PRISMA Review: Drones and AI in Inventory Creation of Signage




    Publication date :

    2025




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    METHOD FOR PROVIDING DIGITAL SIGNAGE USING PLURALITY OF DRONES

    BANG HAN SUNG / KIM HYEON JIN | European Patent Office | 2018

    Free access

    RFID Technology Study for Traffic Signage Inventory Management Application

    Chen, Wenzhe / Childs, Joshua / Ray, Saraf et al. | IEEE | 2022


    SIGNAGE

    HONDA NORIHIKO / KAMETANI MASAHIRO / MATSUMOTO HIROYUKI | European Patent Office | 2020

    Free access

    AUTONOMOUS INVENTORY MANAGEMENT USING BATTERY SWAPPING DRONES

    KIM YOUNG JOON / LEE KYUMAN / HWANG SUNYOU | European Patent Office | 2025

    Free access

    3D 3D MAP CREATION SYSTEM USING DRONES

    SONG MIN SEO / JU MIN GYEONG | European Patent Office | 2024

    Free access