Systems and methods for detecting and remediating roadway hazards are disclosed. A machine learning model is trained on a dataset related to roadway items. Input data is collected by a data collection engine and provided to a pattern recognizer. The pattern recognizer extracts roadway features and recognized patterns from the input data and provide the extracted features to a trained machine learning model. The trained model compares the extracted features to the model, and a risk value is generated. The risk value is compared to a risk value threshold. If the risk value is equal to or exceeds the risk threshold, then the input data may be classified as a roadway hazard. Remedial action is subsequently be triggered.


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    Title :

    WIRELESS VEHICULAR SYSTEMS AND METHODS FOR DETECTING ROADWAY CONDITIONS


    Contributors:
    MCBETH NATHAN (author) / HUYNH JOHN (author)

    Publication date :

    2024-11-07


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06V / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / H04W WIRELESS COMMUNICATION NETWORKS , Drahtlose Kommunikationsnetze



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