Patent ID: 11938939
Assignee: AURORA OPERATIONS, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC B  G | IPC B  G

Claim 17:
18. A method implemented by one or more processors of an autonomous vehicle, the method comprising:
receiving predicted output, wherein the predicted output is generated based on processing an image using a machine learning classifier, wherein the image is captured by a vision component of the autonomous vehicle, and wherein the image captures a region that is predicted to include the traffic light;
identifying, based on the received predicted output, a corresponding numerical measure for each of multiple candidate states of a traffic light;
generating, based on processing each of the corresponding numerical measure, a corresponding final measure for each of the candidate states, wherein generating the corresponding final measure for each of the candidate states comprises:
generating a corresponding candidate state value based on modifying a corresponding numerical measure, for a given candidate state, based on a coefficient that is specific to the given candidate state;
generating corresponding other candidate state values based on modifying corresponding numerical measures, for each of the other candidate states, based on corresponding other coefficients, for each of the other candidate states, that are also specific to the given candidate state; and
generating the corresponding final measure as a function of the corresponding candidate state value and the corresponding other candidate state values;

selecting one of the candidate states as a current state of the traffic light, wherein the selecting is based on the corresponding final measures; and
controlling the autonomous vehicle based on the selected current state of the traffic light.