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17TH World Congress on Road Winter Service, Resilience and Decarbonisation - Pre-proceedings of the Congress

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  • IP0014 - Automating Road Asset Inventory Using Machine Learning
    Johannes NEETHLING , Robert ANDERSON , Michael HENDRICKSE , Rudi VAN BILJON

    Authorities must effectively manage roadside assets to ensure road user safety, compliance and resource optimisation. This research introduces a novel application of machine learning to automate road asset inventory, with an initial focus on detecting and identifying South African road signs. The goal is to overcome the challenges posed by traditional manual or semi-digital methods, which are labour-intensive, [...]