NEURAL NETWORK-BASED ANALYSIS OF IMAGES CAPTURED UNDER DIFFERENT VISIBILITY CONDITIONS

原文（中文）

A solution for analyzing images of a scene captured under different visibility conditions includes obtaining images of a scene captured by one or more cameras and, for each image, obtaining an indication of an actual or assumed visibility (distance) at the scene when the image was captured; selecting, based on the visibility, an artificial neural network (ANN) architecture from a plurality of ANN architectures, wherein the ANN architectures are each trained for image analysis but configured for different input image resolutions, and analyzing the image using the selected ANN architecture. If the selected ANN architecture has a lower input image resolution than the image, the image may be downscaled to match the input image resolution of the selected ANN architecture.