A method is disclosed for using a camera on-board a vehicle to determine whether precipitation is failing 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.


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    Title :

    Vision-Based Rain Detection Using Deep Learning


    Publication date :

    2017-05-03


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English



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