A method is disclosed for using a camera on-board a vehicle to determine whether precipitation is falling near the vehicle. The method may include obtaining multiple images. Each of the multiple images may be known to photographically depict a "rain" or a "no rain" condition. An artificial neural network may be trained on the multiple images. Later, the artificial neural network may analyze one or more images captured by a first camera secured to a first vehicle. Based on that analysis, the artificial neural network may classify the first vehicle as being in "rain" or "no rain" weather. The camera may be orientated so as to be either forward or rearward facing with respect to the vehicle. The one or more images may comprise multiple consecutive images captured by the first camera over a period of less than ten seconds. Also disclosed is a computer system for feeding one or more images captured by one or more cameras on board one or more vehicles to an artificial neural network for classification.


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    Titel :

    Vision-Based Rain Detection Using Deep Learning


    Beteiligte:

    Erscheinungsdatum :

    06.12.2017


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    B60S SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR , Warten, Reinigen, Instandsetzen, Unterstützen, Anheben oder Rangieren von Fahrzeugen, soweit nicht anderweitig vorgesehen / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



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