Patent ID: 11887379
Assignee: ROBERT BOSCH GMBH
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A method for training a machine learning model to recognize road signs, the method comprising:
maintaining image data including video having a sequence of frames;
detecting a road sign in one of the frames;
cropping at least one of the frames based on the detected road sign to produce a copped image that includes the road sign;
executing a visual attribute prediction model to determine a plurality of probabilities of a presence of predefined visual attributes present in the cropped image;
querying a knowledge graph reasoner to access a plurality of rules related to the predefined visual attributes;
validating the visual attribute prediction model by removing at least one of the probabilities of presence of predefined visual attributes in the cropped image based on the rules; and
outputting at least one sign candidate from a plurality of stored sign templates, wherein the at least one sign candidate matches the road sign within the cropped image based on the validated visual attribute prediction model.