Using rasterization to identify traffic signal devices

Abstract

Systems and methods are provided for identifying and representing a traffic signal device. The method includes determining a location and orientation of the vehicle and receiving a real world image. The method further includes analyzing information about the vehicle's location and environment and using this information and the vehicle's orientation to generate a raster image illustrating an approximation of a view of the real world image, including one or more traffic signal devices. Additionally, the method includes providing the real world image and the raster image as inputs to a neural network to classify a traffic signal device in the real world image as the primary traffic signal device and determine a set of coordinates indicating a location of the primary traffic signal device, generating a classified real world image which includes a bounding box indicating the set of coordinates, and receiving the classified real world image.