US Patent Issued to ROBERT BOSCH on March 17 for "Method for generating a trained convolutional neural network including an invariant integration layer for classifying objects" (German Inventors)

ALEXANDRIA, Va., March 17 -- United States Patent no. 12,579,435, issued on March 17, was assigned to ROBERT BOSCH GMBH (Stuttgart, Germany).

"Method for generating a trained convolutional neural network including an invariant integration layer for classifying objects" was invented by Alexandru Paul Condurache (Renningen, Germany) and Matthias Rath (Stuttgart, Germany).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for generating a trained convolutional neural network including at least one invariant integration layer for classifying objects of a digital image of the surroundings of a mobile platform including a plurality of training cycles. Each training cycle includes: providing a digital image of ...