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    AI and IoT Meet Mobile Machines

    Dissertations in Series (Dissertationen in Schriftenreihe)

    Towards a Smart Working Site

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    Author(s)
    Xiang, Yusheng
    Collection
    AG Universitätsverlage
    Language
    English
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    Abstract
    Infrastructure construction is society's cornerstone and economics' catalyst. Therefore, improving mobile machinery's efficiency and reducing their cost of use have enormous economic benefits in the vast and growing construction market. In this thesis, I envision a novel concept smart working site to increase productivity through fleet management from multiple aspects and with Artificial Intelligence (AI) and Internet of Things (IoT).
    URI
    https://library.oapen.org/handle/20.500.12657/57094
    Keywords
    Smart Working Site; Multi Working Machine Pathfinding Algorithm; Multivariable Time Series Classification Algorithm; SLAM; 5G; IEEE 802.11p
    DOI
    10.5445/KSP/1000143073
    ISBN
    9783731511656
    Publisher
    KIT Scientific Publishing
    Publisher website
    https://www.ksp.kit.edu/index.php?link=shop&sort=all
    Publication date and place
    2022
    Series
    Karlsruher Schriftenreihe Fahrzeugsystemtechnik, 7
    Pages
    296
    Rights
    https://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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