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

Claim 0:
1. A system for training a machine learning model to recognize road signs, the system comprising:
a user interface;
a storage configured to maintain image data including video having a sequence of frames; and
a processor in communication with the storage and the user interface, the processor programmed to:
detect a road sign in the frames,
crop at least one of the frames based on the detected road sign to produce a cropped image that includes the road sign,
execute a visual attribute prediction model to determine probabilities of predefined visual attributes present in the cropped image,
query a knowledge graph reasoner to access a plurality of rules relating to the predefined visual attributes,
validate 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
output 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.