US Patent Issued to ROBERT BOSCH on May 6 for "Method and device for generating training data to generate synthetic real-world-like raw depth maps for the training of domain-specific models for logistics and manufacturing tasks" (Israeli Inventors)

ALEXANDRIA, Va., June 10 -- United States Patent no. 12,293,572, issued on May 6, was assigned to ROBERT BOSCH GMBH (Stuttgart, Germany).

"Method and device for generating training data to generate synthetic real-world-like raw depth maps for the training of domain-specific models for logistics and manufacturing tasks" was invented by Yakov Miron (Haifa, Israel) and Yoel Shapiro (Kiryat Bialik, Israel).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented method for providing training data for training of a data-driven depth completion model as a machine-learning model, wherein the depth completion model is to be trained to generate dense depth maps from sensor acquired raw depth maps. The met...