Patent ID: 11935309
Assignee: FORD GLOBAL TECHNOLOGIES, LLC
Field: Control (Instruments)
Classification: CPC G | IPC G

Claim 9:
10. A method of training a classifier of an autonomous vehicle to identify traffic signal states in images, the method comprising:
by a processor:
accessing a data store that contains digital images of an environment along with, for each of the images, a time of capture;
processing a group of the digital images identify an image that includes a traffic signal,
determining the time of capture of the identified image,
receiving, from a roadside unit, signal data that indicates signal phase and timing of the traffic signal, wherein the timing of the signal is indicative of how long a current state of the traffic signal is to persist;
analyzing the signal data received at the time of capture of the identified image to determine a state of the traffic signal of the identified image,
labeling the identified image with a label of determined state, and
passing the identified image and the label to a classifier for an autonomous vehicle; and

by the classifier, using the identified image and the label to train the classifier.