Vision-Based Rain Detection Using Deep Learning

摘要

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.