Determining traffic light labels and classification quality from infrastructure signals

Abstract

This document discloses methods of training a classifier to identify traffic signal states in images captured be a vehicle. The vehicle can then use the identified states when making movement decisions when traveling in an environment. The system determines that a traffic signal is within a field of view of the camera (i.e., within an image). The system also receives a signal with signal phase and timing data for the traffic signal. The system processes the images to identify an image that includes the traffic signal. The system analyzes the signal data to determine a state of the traffic signal at the time of image capture, labels the image with a label of determined state, and passes the image and a label to a classifier in order to train the classifier.